46 computational-geometry-graphics Postdoctoral positions at The Ohio State University
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| Computer Science and Engineering We are seeking a postdoctoral researcher to work on problems at the intersection of algebraic coding theory, matroid theory, and pseudorandomness/derandomization. The focus
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engineering related research, makes and records observations and measurements, collects and compiles data for computer input and analysis, perform literature search on related topics, and operates and maintains
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| School Biomed Sci - Biomedical Informatics Post Doctoral Researcher to pursue specialized research training and experience under the guidance of a scientific mentor in the Department of Biomedical
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Public Health, Epidemiology, Nutrition, Physiology or related program required; strong computer skills preferred; Requires successful completion of a background check. Qualified candidates may be asked
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laboratory conditions. Must be able to work at a computer for extended periods for data analysis, molecular modeling, and manuscript preparation. May require occasional work with biological samples, including
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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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to cancer prevention, diagnosis, and therapies – providing tomorrow’s standard of care today. A Cancer-Free World Begins Here. The OSUCCC – James is the only cancer program in the United States that
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biochemistry. Post Doctoral Scholars are expected to lead analyses critical to the tRNA processing and modification research program in the Jackman laboratory and to take initiative in contributing
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cancer program in the United States that features a National Cancer Institute (NCI)-designated comprehensive cancer center aligned with a nationally ranked academic medical center and a freestanding cancer
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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