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Field
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The post holder will be expected to have a PhD in law or political science and skills to handle large dataset and conduct quantitative analysis and other empirical analysis. Familiarity with LLM (large
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analyzing publicly available data on employment, education and higher education residing in large federal data sets (e.g., Census data, NCES data). Conducts research and prepares project-related technical
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large EHRs, claims, or omics datasets. Ability to conduct research independently and within a team. Minimum Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience
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access to many of the College’s facilities including the gym and pool Free fitness and wellness classes And more! https://www.bowdoin.edu/hr/benefits-perks/index.html Education/Skills Requirements PhD
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of density, viscosity, and thermal conductivity of molten salts. Analyze and assess recent and legacy thermophysical property data, compile and organize into large database files Use various experimental and
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). This consortium pulls together expertise from all over the University, including in diagnostics, data science, drug and vaccine design, preclinical testing and clinical testing and brings it to bear on tuberculosis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
Posting Information Posting Details Department Physics and Astronomy - 319000 Posting Open Date 08/01/2025 Application Deadline Open Until Filled No Position Type Postdoctoral Scholar Position Title
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influences within Florida's coastal watersheds. Your work will involve integrating GIS mapping, water quality modeling, and environmental data to assess hydrology and water quality dynamics. This position
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class of medicines. However, progress in this area has been limited by the absence of high-quality, large-scale protein¿peptide interaction datasets critical for rational, AI-driven peptide design. To
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epidemiology in connection with an ambitious new large-scale study within molecular epidemiology. The study will combine data from the Danish nation-wide registries with pre-diagnostic biological data to study