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Science, 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
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hydrological and related datasets • Apply machine learning and AI techniques to interpret water system dynamics • Develop and implement algorithms using MATLAB and other programming languages (e.g
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climate sciences, genetic/genomic data analysis, image analysis, machine learning and deep learning, artificial intelligence, precision medicine and health outcomes, and physics and astronomy. We encourage
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using a range of empirical approaches, including data science, machine learning, and empirical analytics. Required Application Materials CV and Cover Letter Special Instructions Review of applications
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engineering modeling and data science. The CMSE department hosts leading faculty groups whose research spans a broad collection of foci, including Computational Biology and Bioinformatics, Machine
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faculty position in the Department of Mechanical Engineering (ME) in scientific machine learning (SciML) and computational modeling of complex multiphysics and multiscale systems. We encourage applications
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for risk prediction and treatment optimization, AI for image reconstruction, segmentation, and disease detection; application of machine learning and computational methods toward biomaterial, drug, or
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industry. Applicants that leverage machine learning, neural networks and/or artificial intelligence approaches are encouraged to apply. Location: The position will be based at Michigan State
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the agricultural industry. Applicants that leverage machine learning, neural networks and/or artificial intelligence approaches are encouraged to apply. Location: The position will be based at Michigan
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computation, machine learning, networking, formal methods, and software engineering. The Department is home to 55 tenure-system faculty members and teaching specialists, including four endowed professors