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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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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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Learning Lab at the Crane Center for Early Childhood Research and Policy! The Post Doctoral Scholar will work on a federally funded project examining the impact of LETRS, a professional learning program to
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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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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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: 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
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-May-25 Type: Full-time Categories: Other Staff/Administrative Staff/Administrative Internal Number: R128826 The Ohio State University Department of Astronomy is seeking a Post Doctoral Scholar to collaborate with...
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| Electrical and Computer Engineering Performs research on characterizing the theoretical performance guarantee for various machine learning methods; and designing fast and efficient algorithms and analyzing