51 parallel-computing-numerical-methods "MIT" Postdoctoral positions at Michigan State University
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directions and to collaboratively pursue additional research funding. MSU’s strengths in quantitative forestry methods provide a collaborative environment that supports success. The position will begin as
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outcomes. Methods used in our research group vary widely from randomized clinical trials to multi-omics explorations, imaging, wearable sensors, stable-isotope tracers, large-scale data sets + machine
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outcomes. Methods used in our research group vary widely from randomized clinical trials to multi-omics explorations, imaging, biomarker development, stable-isotope tracers, large-scale data sets + machine
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data sets. Experience with radiative transfer methods is preferred, but not essential. Required Application Materials Applicants should submit a brief cover letter describing their interest in the
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, influenza in cattle, and workforce development, integrating epidemiological methods with applied dairy systems research. While in this role, you will: Conduct quantitative epidemiological analyses
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optimization, operations research, analytical modeling, or related quantitative methods • Interest in artificial intelligence and its implementation in workflow or operational settings • Ability to work
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will also provide an opportunity to train in complementary methods, including in vivo electrophysiology, 2P imaging, molecular techniques, and behavioral approaches. The successful candidate(s) will
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with mixed-methods assessment and data analysis Experience in supervising and mentoring undergraduates Demonstrated ability to work on and complete complex projects with multiple deadlines Excellent
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editing materials, or functional genomics resources. Experience with soybean seed composition analysis and interpretation of seed quality data. Knowledge of soybean breeding methods, field trial design
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diverse team. Because the theory, methods, and approaches to address these types of questions are sometimes lacking, we create new subdisciplines, build research infrastructure, and develop new approaches