13 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral research jobs at University of Oklahoma
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linear mixed models, and biological network analysis. This may require development of new computer algorithms and/or construction of computational workflows on computer clusters. The types of multi-omics
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of the following: Ecosystem Modeling, Machine Learning, Microbiome, Microbial Ecology, Soil Science, or Computational Biology. The positions are for several different projects, including the following: (P1
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, courtney.hofman@ou.edu*** Job Requirements --- Required Education: PhD in Life Sciences (preferably genomics, evolutionary biology and/or conservation biology) Skills: Strong background in population genetics and
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The University of Oklahoma is seeking a postdoctoral research scholar to join the 2025-2027 Future of Species Range Shifts cohort as part of the Climate Adaptation Postdoctoral (CAP) Fellows Program, hosted by
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, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion, disability, political beliefs
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ample funding for computing resources and travel, and there will also be the opportunity to gain experience in mentoring undergraduate and PhD students, outreach, and other departmental activities
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University of Oklahoma's supercomputer, Schooner. There is ample funding for computing resources and travel, and there will also be the opportunity to gain experience in mentoring undergraduate and PhD
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for the appointment is flexible, so please indicate a potential start date in your application. There is ample funding for computing resources and travel, and there will also be the opportunity to gain experience in
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computational modeling. The candidates also will have access to core facilities on the Norman campus and the OU Health Sciences Center (Medical School) in Oklahoma City, Oklahoma. Qualifications Required
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, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion, disability, political