129 postdoc-computer-science-logic Postdoctoral positions at The Ohio State University in United States
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Sciences | Earth Sciences We are seeking a Post Doctoral Scholar to join the School of Earth Sciences at The Ohio State University studying mathematical geodesy. The Post Doctoral Scholar will embark on a
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, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI/ML methods. Prior experience with analyzing
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| Materials Science and Engineering Job Description: Conducts experimental research and development efforts as a Post Doctoral Scholar in the Thermal Materials Laboratory, Mechanical and Aerospace Engineering
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research team focused on advancing cancer science, with a particular emphasis on the kidney cancer microenvironment. This non-tenure track position offers the opportunity to contribute to cutting-edge
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experiments in protein engineering, molecular biology, biochemistry, and next-generation sequencing (NGS). The ideal candidate will have experience with computational tools for protein modeling and design—such
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Sciences | Chemistry and Biochemistry Administration We are seeking a Post Doctoral Scholar to join the Department of Chemistry and Biochemistry at The Ohio State University studying molecular mechanism
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degree in Biological Sciences, Neuroscience, Pharmacology or Physiology and Biophysics required; Requires successful completion of a background check. Selected candidate may be requested to complete a pre
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| Integrated Systems Engineering The Spine Research Institute (SRI) is currently accepting applications for a post-doctoral position. This role offers an opportunity to contribute to cutting-edge research in
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Sciences | Chemistry and Biochemistry Administration The Department of Chemistry and Biochemistry within the College of Arts and Sciences, seeks a Post Doctoral Scholar to perform independent research in RNA
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Services Research, Statistics/Biostatistics, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI