116 assistant-professor-computer-"https:" "https:" "https:" "https:" "Universidade do Minho CTAC" Postdoctoral positions at Cornell University
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, scholarly articles, grant applications, as well as research-to-practice briefs, and practitioner journal articles. The incumbent will work under the supervision of Professor Ariel Avgar supporting AI focused
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supervision of Professor Ariel Avgar supporting AI focused CAROW research projects. The position will commence on September 1, 2026, for a 12-month appointment. Appointment Details: This is a full-time
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Humanities Scholars Program Postdoctoral Associates Call for Applications: Humanities Scholars Program Postdoctoral Associates Open to Cornell PhD Candidates and Recent Cornell PhDs Eligible
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will be based in New York City (NYC) and report to Tashara M. Leak, PhD, RDN, Associate Professor in the Division of Nutritional Sciences (https://www.human.cornell.edu/people/tml226 ) and Co-Director of
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science and enable data-driven conservation interventions. This position is funded by the Bezos Earth Fund. Two central goals of GAIA are: To build an AI Genome Curation Assistant (Jarvis ): an AI system
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development studies, to ecology, to crop and soil sciences and science and technology studies, among other disciplines. The successful candidate will work closely with Professor Bezner Kerr to advance several
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, United States of America [map ] Subject Areas: Data Science Bioinformatics / Clinical , Computer Science , Mathematics , statistics Nutrition Medicine Public Health (more...) Epidemiology Salary Range: $62,232 to $88,745
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assess candidate functions using CRISPR and transgenic approaches. Anticipated Division of Time Research (55%): The Postdoctoral Associate will play a leading role in conducting experimental, computational
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches