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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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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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statement summarizing research interests and experience, and contact information for 3 references. Additional Information The OSUCCC – James is the only cancer program in the United States that features a
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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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Services Research, Statistics/Biostatistics, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI
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experiments in protein engineering, molecular biology, biochemistry, and next-generation sequencing (NGS). The ideal candidate will have experience with computational tools for protein modeling and design—such
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, or other related disciplines Experience in virology, population genetics, molecular biology, or bioinformatics/computational biology to study the evolutionary dynamics of infectious diseases Experience in
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those interactions drive demographic parameters (i.e., population size, dispersal). The scholar will be expected to plan research, analyze data, and publish research results and grant reports in a timely
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: PhD in social science, data science, computer science, information systems, environmental science, ecology, or related field. Demonstrated ability to conduct independent research, as evidenced by peer