132 computer-science-programming-languages-"CNPEM" Postdoctoral positions at The Ohio State University
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Department: Medicine | School Biomed Sci - Biomedical Informatics The position of Post Doctoral Scholar in Human-Computer Interaction (HCI) offers an excellent opportunity to conduct research in
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Biology Department: Medicine | School Biomedicine Science Physiology and Cell Biology Post-Doctoral Scholar to pursue specialized research training, education and experience under the guidance of a
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Program Department: Medicine | Pathology Post Doctoral Scholar position in the laboratory of Hiroki Taniguchi Ph.D. Research focus is on understanding the molecular, cellular, and circuit mechanisms
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Biology Department: Medicine | School Biomedicine Science Physiology and Cell Biology Post-Doctoral Scholar to pursue specialized research training, education and experience under the guidance of a
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references, and one or more writing samples (published or in press). Materials should be attached to the application and sent electronically to Dr. Raeshan Davis, Research Scientist and HHMI Program Manager
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Scholars are expected to lead analyses critical to the species delimitation research program and to take initiative in contributing to the design of investigations into little brown bats and other species
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real-world databases, especially claims and EHR databases. Prior experience with cloud computing. Strong programming skills using at least one of the following programming languages; SAS, R, SQL
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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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| Civil Environmental and Geodetic Engineering We invite applications for an exciting opportunity for a postdoctoral research associate position in the domain of digital twin modeling for infrastructures
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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