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spectrometry-based metabolomics datasets, with discovery of unknown metabolites being a major focus. The laboratory is engaged in several metabolite discovery campaigns involving mining of large-scale
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Learning and Instruction Posting Number R260090 Posting Link https://www.ubjobs.buffalo.edu/postings/62946 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term
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grammar. The postdoctoral associate will – based on their research interest – contribute across one or more of the lab's five core themes: Genomic Technology: Design and execute new, large-scale
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Employees Department's Website: https://engineering.uark.edu/ Summary of Job Duties: As a member of a multi-disciplinary team, the Post Doctoral Fellow of Biological and Agricultural Engineering will conduct
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to develop models and insights that inform decisionmakers from the local to the national scale. The candidate will employ appropriate theoretical perspectives and statistical methods, including
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Posted by Kate Stuart on Wednesday, March 18, 2026 in Job Opportunities . The Cruchaga lab (https://cruchagalab.wustl.edu/ ) at Washington University School of Medicine has a
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Genome Curation Assistant (Jarvis ): an AI system that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
) defining imaging predictors of domain-specific cognitive, motor, and behavioral symptoms; and (3) developing a spatiotemporal model to map individualized disease progression. This is a prospective, multi
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genomics, AI-driven modeling, and translational oncology, analyzing large-scale multi-omic datasets from pediatric cancer cohorts. The position offers a unique opportunity to collaborate closely with
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (https://foylab.xyz/ ), focused on developing computational methods to enhance how we collect, analyze and use clinical