63 postdoc-computational-chemistry Postdoctoral positions at The Ohio State University
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of recently acquired methane data from the tropical Huascaran ice cores covering the last 2000 years. The Post Doctoral Scholar will embark on a program of independent research with the primary goal
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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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not use nanotechnology, computer designing, PK/PD and drug delivery experiments for our studies. Minimum Education Required A highly motivated fresh Ph.D. or 1-2 year post-Ph.D. experience with
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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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University studying microbial ecology of glacier and permafrost environments. The Post Doctoral Scholar will embark on a program of independent research with the primary goal of determining how microorganisms
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the effects of dynamic shaking on physical properties. The Post Doctoral Scholar will embark on a program of independent research with the primary goal of undrained shear experiments on natural seafloor
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provided by the Ohio Eminent Scholars program. This is a term position for an initial period of one year with the possibility of renewal based on performance and availability of funding. For inquiries
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program of independent research with the primary goal of improving the algorithm codes used to characterize the Earth’s gravitational field. Duties will include specialized scientific/numerical analysis
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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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, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI/ML methods. Prior experience with analyzing