49 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Michigan State University in United States
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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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/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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Americans of any U.S. state. Michigan has a rich history in the automobile industry and a thriving arts scene. Michigan State University is an affirmative action/equal opportunity university. Our department
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and plastic; operate pipe cutters, pipe threading machine, power cut saw, cutting torch, drill press, impact drills, backhoe, sewer cleaning equipment, dump truck, and hand tools; prepare excavation
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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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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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to engage in artificial intelligence (AI) and machine learning (ML) applications, including the development of mobile tools for the State of Michigan and the Great Lakes region. These tools will address
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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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, Machine Learning, and empirical analytics, with broad operational interests in one or more of the following domains of research in operations such as Cybersecurity, sustainability, humanitarian operations
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collection Knowledge of association mapping (GWAS/EWAS), statistical modeling, or machine learning in biological contexts Interest in field-lab integration and scaling projects from pilot to multi-site