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DCMI 2023: Call for Participation
by DCMI Announce 16 Mar '23

16 Mar '23

DCMI 2023: Call for Participation https://www.dublincore.org/conferences/2023/cfp November 6-10, Daegu, Korea Metadata Innovation: Enabling Knowledge in a Data-Intensive World ------------------------------------------------------------ For more than two decades, the Dublin Core community has been a fertile ground for researchers, educators, practitioners, and developers to exchange and share ideas, knowledge, experience, and innovative projects on metadata. After three years of pandemic conditions and three all-virtual conferences, many of us look forward to meeting again in person, so we are planning for an in-person meeting in early November, in Daegu, Korea. DCMI 2023, the twenty-first International Conference on Dublin Core and Metadata Applications, will embrace the whole spectrum of innovation in metadata design, implementation, and best practices, with a special focus on challenges and opportunities in a data-intensive world. Today's data-driven, data-dependent, and data-intensive environment requires metadata that is findable, accessible, interoperable, and reusable (FAIR), which is the underpinning of data and knowledge ecosystems. Metadata has never been more crucial than today. Trending fields related to digital transformation such as connected data catalogs, collaboration and remote work, artificial intelligence and machine learning, digital history and ethics, and open science depend on high-quality metadata. The parallel growth of data and metadata challenges the metadata community to rethink its research and practices in order to stay ahead of emerging trends. DCMI 2023 is a venue for discussing "innovative practice" - new solutions to practical problems. It draws participants from universities, research institutions, and LAMs (libraries, archives, museums), as well as corporations, non-profit organizations, and government agencies. The organizers of DCMI 2023 seek inspirational submissions on innovative ideas, practices, and solutions that are built on theoretical models, empirical evidence, and ethical and just foundations of metadata. Submissions in the form of papers (long and short), posters, panels, tutorials, and student forums are welcome in the following broad categories of metadata design, deployment, and best practices: * Metadata principles, guidelines, and best practices * Curation, governance, resilience, and sustainability * Metadata quality and validation * Metadata analytics * Conceptual models and frameworks * Entity modeling and management * Metadata vocabularies * Interoperability and harmonization * Metadata automation, AI, and knowledge graphs * Lessons learned from research and implementation * Metadata and diversity, equity, inclusion, and accessibility (DEIA) * Metadata history and ethics * Metadata for operational and research data * Metadata in digital humanities, open science, and business communications * Metadata and government * Metadata and commerce ** Submission Guidelines ------------------------------------------------------------ * At least one author of an accepted submission must be physically present at the conference to present the work in person (*with an exception of the student forum). * Submissions must follow the guidelines for one of the categories enumerated below. * All submissions must be in English. * All submissions must be made via the Submission System, https://easychair.org/conferences/?conf=dcmi2023 * Submissions must be a single Portable Document Format (PDF) along with the document's source. * The source file should be Open Office (.odf) Microsoft Word (.doc or .docx), or LaTeX files in a single compressed zip file (.zip). ** Templates ------------------------------------------------------------ * Templates for Microsoft Word and LaTeX are provided at the DCPapers template repository (https://github.com/dcmi/dcpapers-templates) . * All templates can be directly downloaded as a zip file ( https://github.com/dcmi/dcpapers-templates/archive/refs/heads/main.zip) . * A template for Overleaf is provided at https://www.overleaf.com/latex/templates/dcmi-2023/nvctyvrbcrmx * For queries and to report issues related to the templates, use only GitHub issues. https://github.com/dcmi/dcpapers-templates/issues ** Formatting Guidelines ------------------------------------------------------------ * Page size: ISO A4 (8.27 in x 11.69 in / 21 cm x 29.69 cm) * Top and bottom margins: 1.18 in / 3 cm * Left margin: 1.14 in / 2.9 cm * Right margin: 1.13 in / 2.87 cm * Header from top: .5 in /1.27 cm ** Submission Categories ------------------------------------------------------------ Note: * The open-access conference proceedings are indexed by Scopus, DBLP, Google Scholar, Semantic Scholar, ACM, and Crossref. Online proceedings will be available before the start of the conference. * Presentation slides, poster slide images, and student forum extended abstracts will be published on the DCMI website. ** Full Papers ------------------------------------------------------------ Full papers either describe innovative work in detail or provide critical, well-referenced overviews of key developments or good practices. * 8-10 pages, single-spaced, plus references ** Short Papers ------------------------------------------------------------ Short papers are narrower in scope than full papers and may be either a description of work in progress, or a project report that concisely describes a specific model, application, or activity. * 4-5 pages, single-spaced, plus references ** Posters ------------------------------------------------------------ Posters are for the presentation of projects, research under development, or late-breaking results. * 2-page abstract, single-spaced, plus references ** Panels ------------------------------------------------------------ Panel sessions are organized by experts in a specific area of metadata. Each panel serves as a focused exchange regarding the latest research and/or best practice in the area. * 1-2 page abstract with panelists' bios of 100-150 words each ** Tutorials ------------------------------------------------------------ Tutorials introduce specific topics of current interest in metadata practice, optionally including hands-on practice. Proposals for tutorials must include: * 2-3 page proposal including: * Title of tutorial and topic to be covered (2-3 paragraphs) * Target audience and expected learning outcomes * Tutorial style: lecture, demonstration, hands-on practice, etc. * Any prior knowledge required (e.g., RDF, programming languages) * Whether participants must (or should) bring laptops or install software beforehand * Presenter bios (100-150 words each) ** Student Forum ------------------------------------------------------------ The student forum aims at providing an opportunity for master's and doctoral students to share their experiences and exchange ideas of best practices, research in progress, and findings in areas related to metadata innovation. * Student forum will be in a hybrid format. In-person participation is encouraged with the option of virtual. * Less than 1500 words plus references * All presenters at the student forum will receive free registration for the conference * All presenters attending the in-person conference will be automatically eligible for the Student Forum Award competition. The Student Forum Committee will select the winner who will receive a $500 prize to cover the travel costs ** Submission Deadlines ------------------------------------------------------------ * Papers (full and short): May 5th, 2023, 11:59pm (AoE) * Posters, Panels, Tutorials, and Student Forum: May 26th, 2023, 11:59pm (AoE) * Best Practices and Talks are by invitation ** Important Dates ------------------------------------------------------------ * Notification to authors: July 14, 2023 * Final copy due: August 4, 2023 Kyong Eun Oh Program Chair, DCMI 2023 https://www.dublincore.org/conferences/2023/

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GeoLifeCLEF 2023 - Deep Species Distribution Modeling challenge
by Alexis Joly 10 Mar '23

10 Mar '23

Dear all, We would like to invite you to participate in GeoLifeCLEF 2023, a machine learning competition that aims at predicting plant species composition in space and time. The competition is designed to support biodiversity management and conservation and to improve species identification and inventory tools. The primary objective is to predict the set of plant species present at a given location and time using Sentinel-2 satellite images and Landsat time-series, as well as other rasterized environmental data like land-cover, human footprint, bioclimatic, and soil variables. The challenge presents several difficulties, including multi-label learning from single positive labels, strong class imbalance, multi-modal learning, and large-scale data. We provide a large-scale training set of approximately 5 million plant occurrences in Europe (single-label data) belonging to 10,000 different species, thus covering a large proportion of the European flora. Unlike in previous years, in which occurrence data was also used for evaluation, we provide presence-absence data, thus multi-label, for 5,000 validation and 20,000 test plots. The competition will be hosted by Kaggle and a summary of the results will be presented at the FGVC workshop at CVPR 2023 in Vancouver and at ImageCLEF 2023 in Thessaloniki. Give it a try! More details can be found in: https://www.kaggle.com/competitions/geolifeclef-2023-lifeclef-2023-x-fgvc10… Best regards, The GeoLifeCLEF23 organizers

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DCMI 2023: Call for Participation
by DCMI Announce 01 Mar '23

01 Mar '23

DCMI 2023: Call for Participation November 6-10, Daegu, Korea DCMI 2023, the twenty-first International Conference on Dublin Core and Metadata Applications will be held as an in-person conference on November 6-10, in Daegu, South Korea. The organizers of DCMI 2023 seek inspirational submissions on innovative ideas, practices, and solutions that are built on theoretical models, empirical evidence, and ethical and just foundations of metadata. Submissions in the form of papers (full and short), posters, panels, tutorials, and student forums are welcome in the following broad categories of metadata design, deployment, and best practices: * Metadata principles, guidelines, and best practices * Curation, governance, resilience, and sustainability * Metadata quality and validation * Metadata analytics * Conceptual models and frameworks * Entity modeling and management * Metadata vocabularies * Interoperability and harmonization * Metadata automation, AI, and knowledge graphs * Lessons learned from research and implementation * Metadata and diversity, equity, inclusion, and accessibility (DEIA) * Metadata history and ethics * Metadata for operational and research data * Metadata in digital humanities, open science, and business communications * Metadata and government * Metadata and commerce SUBMISSION CATEGORIES The template for submissions will be published on the conference website shortly. Please check []( https://www.dublincore.org/conferences/2023/)[https://www.dublincore.org/co…) for updates. FULL PAPERS Full papers either describe innovative work in detail or provide critical, well-referenced overviews of key developments or good practices. 8-10 pages, single-spaced, plus references SHORT PAPERS Short papers are narrower in scope than full papers and may be either a description of work in progress, or a project report that concisely describes a specific model, application, or activity. (4-5 pages, single-spaced, plus references) POSTERS Posters are for the presentation of projects, research under development, or late-breaking results. (2-page abstract, single-spaced, plus references) PANELS Panel sessions are organized by experts in a specific area of metadata. Each panel serves as a focused exchange regarding the latest research and/or best practice in the area. (1-2 page abstract with panelist bios of 100-150 words each) TUTORIALS Tutorials introduce specific topics of current interest in metadata practice, optionally including hands-on practice. (2-3 page proposal) STUDENT FORUM The DCMI Student Forum aims at providing an opportunity to master's and doctoral students to share their experiences and exchange ideas of best practices, research in progress, and findings in areas related to metadata innovation. \* Student forum will be in a hybrid format. In-person participation is encouraged with the option of virtual. (Less than 1500 words plus references) SUBMISSION DEADLINES * Papers (full and short): May 5th, 2023 * Posters, Panels, Tutorials, and Student forum: May 26th, 2023 NOTE * Peer-reviewed papers will be assigned DOIs and published online in the conference proceedings. Papers will be available before the start of the conference. The papers are indexed by DBLP, Google Scholar, ACM, and Crossref. * At least one author of an accepted submission must be physically present at the conference to present the work in person (\*with the exception of the student forum). * More detailed information and guidelines for submissions will be available in early March. Kyong Eun Oh Program Chair, DCMI 2023

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IT Lead for Danish digitisation program being advertised
by Pip Brewer 22 Feb '23

22 Feb '23

Hello, We are now advertising for an IT Lead for DaSSCo! DaSSCo (Danish System of Scientific Collections) is a national program to digitise every natural history specimen in Denmark. It is the Danish node of DiSSCo. The IT Lead is a key position will work as part of a small (but growing) team to help develop the infrastructure needed for this ambitious program. If you would like to know more about the museum: https://snm.ku.dk/english/about_the_museum/ Details of the post are here: https://employment.ku.dk/all-vacancies/?show=158363 Deadline is 19th February 2023. Please pass on to colleagues, friends, share on social media etc. Best wishes, Pip Pip Brewer DaSSCo Project Leader University of Copenhagen Natural History Museum of Denmark Digital Collections København K pip.brewer(a)snm.ku.dk<mailto:pip.brewer@snm.ku.dk> [Logo for Københavns Universitet] How we protect personal data<https://informationssikkerhed.ku.dk/english/protection-of-information-priva…>

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Webinar Invitation: Biological Collections Action Center
by Nelson,Gil 06 Feb '23

06 Feb '23

You are invited to a series of webinars focused on Envisioning a Biological Collections Action Center as proposed in the recent NASEM report (see list of organizers below) and authorized by the CHIPS and Science Act passed by the U.S. Congress last summer. The webinars are scheduled for 7, 14, and 21 March 2023. See below for details. All webinars will be held from 1-2 p.m. Eastern. Webinars will be open to all and will be recorded. Recordings will be posted here following the event: https://www.idigbio.org/wiki/index.php/Envisioning_a_Biological_Collections…. Webinar 1: March 7, 2023 Visions of an Action Center from NASEM Report Authors: Pam Soltis (moderator), Andy Bentley, and Barbara Thiers Webinar 2: March 14, 2023 Visions of an Action Center from NASEM Report Authors: Pam Soltis (moderator), Joe Cook, Scott Edwards, Talia Karim, Shirley Pomponi Webinar 3: March 21, 2023 Responses to the NASEM report with presentations from the Interagency Working Group on Scientific Collections (IWGSC), AIBS, and BCoN Speakers include: Scott Miller, Kevin Hackett, and Diane DiEuliis (IWGSC), Jyotsna Pandey (AIBS), and Breda Zimkus (BCoN). Registration Webinars will be held via Zoom. Register here: https://ufl.zoom.us/webinar/register/WN_YYB5rbCOR3WKHxkYMQh3Ng#/registration Organizers: John Bates, Carol Butler, Matt Borths, Joe Cook, Libby Ellwood, Jillian Goodwin, David Jennings, Gil Nelson, Jyotsna Pandey, Emily Sessa, Pam Soltis, Breda Zimkus Gil Nelson, PhD Director, Integrated Digitized Biocollections (iDigBio) President, Natural Science Collections Alliance (NSCA) Florida Museum of Natural History University of Florida gnelson(a)floridamuseum.ufl.edu

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Registration Open: 7th Annual Digital Data Conference
by Nelson,Gil 01 Feb '23

01 Feb '23

[cid:d621e06a-8d4c-445e-a1c7-b0ad462beefc] iDigBio<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.idigb…>, the Natural Science Collections Alliance (NSCA)<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnscallian…>, and Arizona State University (ASU) are delighted to announce the 2023 Digital Data in Biodiversity Research Conference, 5-7 June, with this edition of the conference offering both in-person and virtual participation. We are anticipating a return to interpersonal interaction as well as continuing the option for remote engagement. The overall theme for the 2023 conference will be Leveraging Digital Data for Conservation, Ecology, Systematics, and Novel Biodiversity Research. Registration is now open! Register via Eventbrite<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.event…>: https://www.eventbrite.com/e/505164048267<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.event…> Registration fees: In-person, Non-student Registration (including virtual participation): $100 In-person, Student Registration (including virtual participation): $50 Virtual Participation Only: *Optional * Optional virtual registration fees will support the digital format technology, the editing and publication of abstracts, and keeping the conference sustainable. Registration fees are optional for virtual participants but encouraged. When registering, those who wish not to make a financial contribution to the conference will have that option. Although registration is optional, your registration information, even if you opt out of the fee, will allow us to keep you updated about conference activities. Deadlines: Registration & Abstract submission opens on Eventbrite: February 1 Abstract submission deadline: April 26 Please watch for further announcements and program developments on the conference announcement page: https://www.idigbio.org/content/digital-data-2023-leveraging-digital-data-s…<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.idigb…> Accommodation & Travel: https://www.idigbio.org/content/digital-data-2023-logistics<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.idigb…> For further information or to ensure that you are on the conference email list, please contact Gil Nelson (gnelson(a)floridamuseum.ufl.edu) or Jill Goodwin (jgoodwin(a)floridamuseum.ufl.edu) at iDigBio. Jillian Goodwin iDigBio Conference Manager Florida Museum of Natural History 508-887-6043 www.idigbio.org

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Digitiser posts in Denmark
by Pip Brewer 05 Jan '23

05 Jan '23

Hello, We are advertising for two Digitiser posts based at the Natural History Museum of Denmark (part of the University of Copenhagen) for DaSSCo (the Danish node of DiSSCo, an initiative to digitize all natural history specimens in Denmark). Please see the link below. Senior Digitiser for the Danish System of Scientific Collections (DaSSCo) (2 posts): https://jobportal.ku.dk/alle-opslag/?show=158214 The position is available from 1 April 2023 to 31 August 2026. Application closing date: 3 February 2026. Please help us spread the word on these posts! Social media, potential candidates, existing students, mailing lists etc - your help would be greatly appreciated! Best wishes, Pip Pip Brewer DaSSCo Project Leader University of Copenhagen Natural History Museum of Denmark Digital Collections København K pip.brewer(a)snm.ku.dk<mailto:pip.brewer@snm.ku.dk> [Logo for Københavns Universitet] How we protect personal data<https://informationssikkerhed.ku.dk/english/protection-of-information-priva…>

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Special Collections Researcher post at Cambridge University Herbarium (CGE): deadline 3rd Jan 2023
by Lauren Gardiner 23 Dec '22

23 Dec '22

** With apologies for cross-posting to multiple lists ** Dear All, Another year, another fantastic job opportunity at Cambridge University Herbarium! [?][?][?] We are recruiting a Special Collections Researcher to focus on identifying & mobilising our Type collections in 2023! [?] [?] [?] [?][?] Thanks to the Isaac Newton Trust we have 12 months' funding to support this post in the first instance, and the application deadline is 3rd January 2023 [?] [?] You can find out more about the project here: https://www.plantsci.cam.ac.uk/news/new-funding-help-university-herbarium-i… More details and further particulars for the post: https://www.jobs.cam.ac.uk/job/38536/ Please do share this message with colleagues, students, and your networks, newsletters, and job boards! Wishing you all a wonderful festive season and a very Happy New Year, Lauren --- Dr Lauren M. Gardiner FLS (pronouns: she/her)| Curator of the Cambridge University Herbarium (CGE) and Academic Librarian for the Department of Plant Sciences | CB2 1LR | Email: herbarium(a)plantsci.cam.ac.uk<mailto:herbarium@plantsci.cam.ac.uk> | @CUHerb<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftwitter.c…> | YouTube Channel<https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.youtub…> This email (together with any files transmitted with it) is intended only for the use of the individual(s) to whom it is addressed and must not be distributed without explicit consent. It may contain information which is confidential and/or legally privileged. If you have received this email in error, please notify the sender by return email (or telephone) and delete the original message. Unless expressly stated, opinions in this email are those of the individual sender, and not of the University of Cambridge. The sender has taken reasonable precautions to check for viruses but the recipient opens this message at their own risk.

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Imageomics Institute Postdoctoral Research Associate search
by Bart, Henry L 21 Dec '22

21 Dec '22

The Tulane University Biodiversity Research Institute (TUBRI) is searching for a Postdoctoral Research Associate to involve in exciting, biology-guided, machine-learning research for two-years. The position is supported by a NSF Harnessing the Data Revolution Institute project entitled, Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning. This collaborative, multi-institution, multi-investigator project involves biologists and computer scientists who are training machine-learning algorithms to extract phenotypic trait data from images of a variety of types of biological specimens. The learning is aided by structured biological knowledge such as an anatomy ontology and phylogenetic trees. The postdoctoral researcher will contribute to ongoing efforts to extract trait data from images of fish specimens at the under the mentorship of Henry L. Bart Jr, Professor of Ecology and Evolutionary Biology and TUBRI Director, and Yasin Bakış, Senior Manager of Biodiversity Informatics and Data Engineering at TUBRI. The TUBRI postdoc will have opportunities to interact with other biologists, computer scientists, postdocs, and students from the ten other universities and research centers involved in the Imageomics Institute. TUBRI is a research center of Tulane's School of Science and Engineering, located on the grounds of the F. Edward Hebert Research Center in Belle Chasse, Louisiana, a suburb of New Orleans. TUBRI houses the Royal D. Suttkus Fish Collection and specializes in biodiversity discovery (primarily involving fishes) and biodiversity informatics research. The postdoctoral research associate will contribute to all aspects of ongoing work on the Imageomics Institute project at TUBRI, including: 1. Processing images of fish specimens and their supporting metadata to prepare them for machine-learning experiments; 2. Extracting data on morphological traits of fish specimens in images and determining the utility of the extracted data for identifying fish species and quantifying differences in traits of fish specimens from different populations within species; 3. Using extracted morphological traits data in "morphological barcoding" experiments focused on distinguishing images of fish specimens representing various fish taxonomic groups; 4. Verifying data and project output quality and accuracy; 5. Supporting the TUBRI coding team by a. assisting with software design where biological expertise is needed, b. making sure the software is properly documented, c. providing input during the coding process so that outputs are scientifically sound and publishable; 6. Attending project-related workshops, training programs, and meetings; 7. Keeping abreast of the latest literature relevant to the project; 8. Openly sharing findings with project collaborators; 9. Work collaboratively with Imageomics ML experts to explore develop new deep-learning methods; 10.Present analysis results at conferences and publish findings in scientific journals. Required Knowledge, Skills, and Abilities Prior (proven) experience in at least one of the following: Image Analysis, Artificial Intelligence, Genetic Algorithms, Biodiversity Informatics, Computational Biology, Bioinformatics, Biomedical Informatics, Ecoinformatics or a related field (scientific publications) Working knowledge of at least three of the following languages (one from each group) {Java, C, C++, C#}, {Python, PHP, Perl}, {R, Bash, JavaScript}, {ORACLE SQL, MSSQL, PostgreSQL, MySQL} Working knowledge of Unix based operating systems Experience in writing grant proposals and scientific publications Strong problem-solving skills Required Education and/or Experience PhD in Biological Sciences, Biodiversity Informatics, Computer Science, Information Sciences, Computational Biology/Bioinformatics, or a related field Preferred Qualifications Experience with: Image Processing Artificial Intelligence/Neural Networks Genetic Algorithms Web-database applications Experience in parallel computing (GPU) Working knowledge of version control system (GIT) Other Considerations The position is open to international candidates The postdoc is expected to travel internationally The postdoc should have strong communication and interpersonal skills Start date: As soon as an acceptable candidate is identified For additional information about the position, including application instructions, please contact Henry Bart (hbartjr(a)tulane.edu) or Yasin Bakiş (ybakis(a)tulane.edu) Henry L. Bart Jr., Ph.D. Director, Tulane University Biodiversity Research Institute Curator, Royal D. Suttkus Fish Collection 3705 Main Street, Belle Chasse, LA 70037 Voice: 504-394-1711; Fax: 504-394-5045 Professor of Ecology and Evolutionary Biology, Tulane University 400 Lindy Boggs Hall, New Orleans, LA 70118 Voice: 504-862-8283; Fax 504-862-8706 Website: http://people.tubri.org/hank/

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Imageomics Institute Graduate Research Assistant search
by Bart, Henry L 21 Dec '22

21 Dec '22

The Tulane University Biodiversity Research Institute (TUBRI) is searching for a Graduate Research Assistant (GRA) to involve in an exciting, research project entitled, Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning. TUBRI is a research center of Tulane's School of Science and Engineering, located on the grounds of the F. Edward Hebert Research Center in Belle Chasse, Louisiana, a suburb of New Orleans. TUBRI houses the Royal D. Suttkus Fish Collection and specializes in biodiversity discovery (primarily involving fishes) and biodiversity informatics research. The Imageomics Institute is collaborative, multi-institution, multi-investigator project involving biologists and computer scientists who are training machine-learning algorithms to extract phenotypic trait data from images of a variety of types of biological specimens. The learning is aided by structured biological knowledge such as an anatomy ontology and phylogenetic trees. The GRA will contribute to ongoing efforts at TUBRI to train computer algorithms to extract trait data from images of fish specimens. Interested persons must apply for admission to the Ph.D. program in Tulane's Department of Ecology and Evolutionary Biology (EEB) where they will develop and complete and original dissertation research project under the mentorship of Dr. Henry L. Bart Jr, Professor of Ecology and Evolutionary Biology and TUBRI Director, and Dr. Yasin Bakış, Senior Manager of Biodiversity Informatics and Data Engineering at TUBRI. The GRA position is funded for three years, but support guaranteed for up to 2-3 additional years of graduate study for completion of the Ph.D. degree. The GRA will also have opportunities to interact with other biologists, computer scientists, postdocs, and students from 10 other universities and research centers involved in the Imageomics Institute. Desired Knowledge, Skills, and Abilities Working knowledge of at least 2 of the following languages (one from each group) {Java, C, C++, C#}, {Python, PHP, Perl}, {R, Bash, JavaScript}, {ORACLE SQL, MSSQL, PostgreSQL, MySQL} Required Education and/or Experience BSc in Biology, Computer Science, Information Sciences, or a related field Should commit to complete PhD study in Ecology and Evolutionary Biology (EEB) or Interdisciplinary EEB and Computer Science Preferred Qualifications MSc in Biology, Computer Science, Information Sciences or a related field Working knowledge of Unix based operating systems Prior experience in one of the following fields: Image Processing, Artificial Intelligence, Genetic Algorithms, Biodiversity Informatics, Computational Biology, Bioinformatics, Biomedical Informatics, Ecoinformatics or a related field (publications) experience in Image Processing projects experience in Artificial Intelligence/Neural Networks projects experience in web-database applications experience in Genetic Algorithms Other requirement for the position Admission the Ph.D. program in Ecology and Evolutionary Biology at Tulane University The position is open to international candidates Should be able to travel internationally Strong communication and interpersonal skills Preferred Start Date: Fall 2023. Please use this link to apply for admission to the EEB Ph.D. program: https://applygrad.tulane.edu/apply/ For additional information or questions about the position please contact Henry Bart (hbartjr(a)tulane.edu) Henry L. Bart Jr., Ph.D. Director, Tulane University Biodiversity Research Institute Curator, Royal D. Suttkus Fish Collection 3705 Main Street, Belle Chasse, LA 70037 Voice: 504-394-1711; Fax: 504-394-5045 Professor of Ecology and Evolutionary Biology, Tulane University 400 Lindy Boggs Hall, New Orleans, LA 70118 Voice: 504-862-8283; Fax 504-862-8706 Website: http://people.tubri.org/hank/

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