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python), computational mechanics and fluid dynamics, numerical methods, machine learning, and the finite element method. In this position, the candidate will develop data-driven multiscale/multiphysics
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> on research projects related to kinetic equation and its related multiscale model reduction, numerical method, and data-driven/machine-learning approaches, including: • Numerical simulation of kinetic
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, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine
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learning. We desire to advance this through building a program focused on digital twins and related approaches to rapidly advance early therapeutic tools. As an institution of higher learning, Michigan
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assessment and feedback in high school science classrooms. The position focuses on analyzing student responses to three-dimensional science learning tasks, including written explanations and student
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conduct collaborative research at the intersection of non-canonical kinetic theory, non-conventional plasma turbulence modeling, high-speed flows, scientific machine learning for multi-physics problems
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trials to multi-omics explorations, imaging, biomarker development, stable-isotope tracers, and large-scale data set s and machine learning. The lab is now recruiting for a postdoctoral researcher, who
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. Bioinformatics analysis of data will include use of population genomics techniques, phylogenetics and machine-learning development. The successful candidate will be expected to write up results as manuscripts
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Element Method modeling (Abaqus, Ansys) or similar. 4. Basic familiarity with machine learning (preferred). 5. Some record of research output (e.g. peer-reviewed papers, conference abstracts) or
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learning and digital twins. As an institution of higher learning, Michigan State University is committed to providing a safe environment for its students, faculty, and staff in support of its