41 high-performance-computing-postdoc Postdoctoral positions at The Ohio State University in computer-science
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interaction, electronic health record data, or large-scale biobank resources. Experience with high-performance computing, reproducible workflow development, scientific manuscript preparation, or collaborative
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Biomedical Informatics
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of Biomedical Informatics; designs and develops novel computational tools for biomedical data analysis; performs large-scale analysis using omics data; assists in identifying new biomedical data analysis
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, biostatistics, computer science, biomedical informatics, genomics, systems biology, quantitative biology, or a related field. Demonstrated experience analyzing genomic, transcriptomic, or other high-dimensional
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at The Ohio State University Wexner Medical Center is seeking a highly motivated Postdoctoral Researcher to join an DoD and NIH-funded research program investigating ischemia-reperfusion injury, inflammation
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and high-level technical assistance to laboratory staff. The successful candidate will support daily laboratory operations, contribute to ongoing research projects, and assist with regulatory and
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course of progressive MS.The candidate will perform neuroimmunology research as directed by the PI in the department of Neurology; independently conduct assigned projects involving human tissue and fluid
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and protocols; attends research seminars; contributes to manuscript preparation and supports technical writing; participates in preparation of grant applications for extramural funding; performs
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control and optimization strategies, run high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate
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trainees as appropriate. Required Qualifications · Ph.D. in Computational Biology, Genomics/Epigenomics, Cancer Biology or a related quantitative discipline. · Strong experience analyzing high-dimensional