65 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Michigan State University
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/Administrative Internal Number: 1099382 Working/Functional Title Kellogg Building Sanitation Worker Position Summary Periodically scrubs and refinishes floors. Uses electronic floor machines including carpet care
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. Foundational kinetic models often have N∼256 and d≥6, making direct numerical simulation intractable with traditional approaches. Through innovative work combining machine learning with new paradigms for direct
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data using more advanced analysis techniques. Strong interpersonal and communication skills. Strong organization capabilities (including calendaring), strong writing and computer skills, good attention
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creative services; graphic design; word processing; desktop publishing; web design; presentation; spreadsheet and/or database software; public presentation; or radio production; or computer programming
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will expect candidates with research experience and record in machine learning and deep learning modeling of biomolecular systems, structural and/or sequence bioinformatics. Research backgrounds in
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research experience and record in machine learning and deep learning modeling of biomolecular systems, structural and/or sequence bioinformatics. Research backgrounds in computational biophysics
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; extensive knowledge of computer software including Microsoft products, Outlook email, Titanium, and Athena electronic health records; understanding of HIPAA/patient confidentiality; critical decision-making
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are especially looking for candidates with a background in Monte Carlo Event Generators, parton showers, neutrino-nucleus interactions, and machine learning applications in particle physics. The high energy theory
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for teaching, innovation, care, and service. Six goals, backed by specific strategies, guide our organization as we move forward. Read more at https ://cvm.msu.edu/about/strategic-planning-2021-26/goals
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/Machine learning/deep learning Computational topology/geometry/combinatorics Candidates are required to have a Ph.D. in Mathematics, mathematical related field or an equivalent area before the starting date