530 parallel-computing-numerical-methods-"Simons-Foundation" positions at Michigan State University
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research methods and has expertise in education policy, with a specific interest in policy and program evaluation. EPIC is a policy lab located within the College of Education at Michigan State University
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knowledge & transforming lives! This position will engage in high performing, leading edge practices, using superior cleaning methods, equipment, and standards. Be a part of a growth-oriented and diverse
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for image reconstruction, segmentation, and disease detection; application of machine learning and computational methods toward biomaterial, drug, or biologic discovery and optimization. Other qualifications
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research associates to apply molecular simulation and mathematical methods to extend and develop these predictive tools into a broadly usable pipeline. Drs. Wei and Woldring will expect candidates with
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design, corpus linguistics, assessment and program evaluation, teacher education, research methods, second language acquisition of heritage language learners, multilingualism, sociolinguistics Experience
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hydrodynamic, coastal, and hydrologic models is a prerequisite for this position. Excellent programming skills in Fortran and Python and good command in using Linux and parallel computing using high performance
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hydrodynamic, coastal, and hydrologic models is a prerequisite for this position. Excellent programming skills in Fortran and Python and good command in using Linux and parallel computing using high performance
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Position Summary The MSU Field Crops Pathology Program is seeking a motivated and highly organized Research Assistant to help manage, coordinate, and conduct disease-focused field research across
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. Develops and implements methods and techniques to improve quality, portion control, production and presentation. Develops and conducts training programs to train and educate personnel in methods and
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to 4 qualified postdoctoral research associates to apply molecular simulation and mathematical methods to extend and develop these predictive tools into a broadly usable pipeline. Drs. Wei and Woldring