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, game-theoretic analysis, network problems, decision analysis, or behavioral economics Proficiency in a scientific computing or statistical programming languages (e.g., Python, R, Julia, C++, or MATLAB
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motivated master’s-level graduate fellow with a background in surveillance, epidemiology, biostatistics, informatics, data science, or a related field. RESP-NET is a population-based surveillance platform
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are derived from plant breeding, genomics, quantitative genetics, physiology, biotechnology, computational biology, and horticulture. You will be encouraged to establish robust collaborations with faculty
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in virology, immunology, veterinary science, and computational biology to develop solutions for protecting United States swine herds from endemic viral disease threats. Research Project: You will gain
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collaborative research on problems of interest to each applicant and amenable to or requiring HPC resources. Training will be provided in data science, scientific computing, AI/ML, and related topics as needed
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nation’s health protection agency, CDC saves lives and protects people from health threats. To accomplish its mission, CDC conducts important science and provides health information that protects our nation
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appointed. Application Deadline 9/3/2026 9:00:00 AM Eastern Time Zone Description The Office of the Assistant Secretary for Research and Technology (OST-R), works at the dynamic intersection of new and
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. Additionally, we intend to measure root water uptake using sap flow meters. The data will be integrated using recently developed physics-informed neural networks in order to translate apparent resistivity data
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nation’s health protection agency, CDC saves lives and protects people from health threats. To accomplish its mission, CDC conducts important science and provides health information that protects our nation
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of interest to each applicant and amenable to or requiring HPC resources. Training will be provided in data science, scientific computing, AI/ML, and related topics as needed for the fellow to complete