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-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through collaborative research on problems of interest to each applicant and amenable
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-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through collaborative research on problems of interest to each applicant and amenable
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datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through collaborative research on problems
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, integration, and analysis of large, diverse datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through
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to: (a) strengthen microbiological, molecular biological, immunological and histological techniques; (b) develop lab protocols; (c) collect and analyze data with statistics Mentor(s): The mentor
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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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, analyze, and communicate results from swine challenge studies utilizing PRRSV or PEDV as the infectious agents; (b) prepare study design protocols; (c) perform infectious challenge, sampling, and necropsies
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results from swine challenge studies utilizing PRRSV or PEDV as the infectious agents; (b) prepare study design protocols; (c) perform infectious challenge, sampling, and necropsies; (d) process specimens
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) conduct scientific writing and dissemination of research, (b) describe forest and fire ecology theory and field methods; and (c) apply data management and analysis skills. Mentor: The mentor