60 engineering-computation "https:" "https:" "https:" "https:" positions at Michigan State University
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Position Summary The Center for Hierarchical and Robust Modeling of Non-Equilibrium Transport (CHaRMNET) , housed in the Department of Computational Mathematics, Science and Engineering (CMSE
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community gardeners and will lead the local Extension Master Gardener Program in Southwest Michigan. In addition, this position will provide general oversight to the on-going development of a community garden
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informatics, medical imaging analysis, AI/ML development, omics technology development, biomedical data integration and mining, translational bioinformatics, computational medicine, statistics/biostatistics
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-of-the-art research tools and infrastructure. Our department is closely aligned with MSU’s Institute for Quantitative Health Science and Engineering (https://iq.msu.edu/ ). Research and training opportunities
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/biophysics and computer science. Applications will be considered from any of the focus areas: AI-based drug design and discovery Bioinformatics/protein engineering/single-cell omics data Mathematical AI
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Planning & Operational Efficiency (10%) Plan and manage departmental events, receptions, and special programs, leveraging technology and process improvement strategies to ensure cost-effective and efficient
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identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Biophysics, Biochemistry, Physics, Computer Science, Mathematics, Chemical Engineering, or a
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to the Department of Mathematics and the Department of Computational Mathematics, Science and Engineering, which provides excellent opportunities for interactions between Physics, Mathematics and Computational
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and knock downs in Z. mobilis Engineering Z. mobilis to use alternative electron donors and carbon sources Studying small molecule transport in Z. mobilis Presenting research plans and findings and
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, statistics, bioinformatics, data science, agricultural engineering, environmental modeling, or a related field with a strong computational and/or quantitative component by the time of appointment Strong data