44 computer-programmer-"U.S"-"U.S" Postdoctoral positions at The Ohio State University
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motivated researcher with a strong background in computational modeling, system identification, and uncertainty quantification for civil infrastructure. The successful candidate will join the Risk Assessment
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-employment physical including a drug screen. Additional Information: The focus of the NIH research program is on “Mechanotransduction and Mechanical Stress induced Postoperative ileus” (POI). The goal is to
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potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute to the preparation of research reports, peer-reviewed manuscripts
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potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute to the preparation of research reports, peer-reviewed manuscripts
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qualifications: Experience with VASP and high performance computing Proficiency in programming (Python or C or C++ or Fortran) Experience with developing machine learning interatomic potentials A solid background
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software program (e.g., R, STATA) Demonstrated experience accessing, preparing, and analyzing secondary data Strong interpersonal and communication skills, with the ability to collaborate effectively with
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| Mechanical and Aerospace Engineering Perform basic research in computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects. Emphasis to be placed
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/ Statistical Genetics or closely related program. Required Qualifications Ph.D. degree in bioinformatics, statistical genetics, biostatistics, or a closely aligned quantitative area. Candidate is expected
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analysis to explore microbial communities and their functional potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute
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analysis to explore microbial communities and their functional potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute