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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 hours ago
the University of North Carolina System since 1969. Department Distance Education - 34000 External Link to Posting https://jobs.uncw.edu/postings/38988 Vacancy Number TSP5633PST Working Title Temporary
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) Focus on Microbiome Data Science and Explainable Machine Learning Core research themes We are looking for motivated and skilled students to join our research team in the field of plant microbiome data
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. This researcher will broadly support research at the intersection of cell, molecular, and developmental biology using quantitative imaging tools. RESPONSIBILITIES: 50%: Maintain, operate, and provide training
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upon in the event of an emergency and/or university closure. Duties may include: Perform routine and preventative maintenance of systems, tools, equipment and vehicles Locate irrigation lines, sprinkler
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limited to: - Write code to automate synthesis and characterization tools - Design, build and validate custom experimental setups - Developing data pipelines Qualifications Required
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Job Description Position Purpose The Fowler lab currently has an outstanding opportunity for a Senior Computer Specialist. We are a diverse, driven group developing cutting-edge genomic technologies
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. The doctoral candidate will engage in interdisciplinary research, modeling threat actors, and developing AI-based monitoring tools. Responsibilities include publishing in top-tier journals/conferences and
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and document management systems, e‑billing tools, and travel/expense systems Demonstrated ability to manage high‑volume work with accuracy and attention to detail Other Requirements Ability to manage
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 01-Apr-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences