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surveillance and preparedness planning using multiple modeling approaches. The successful candidate will develop and implement statistical and machine-learning models, integrate multi-source ecological datasets
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to classify horses into multiple risk categories (e.g., very low, low, moderate, high, and very high) and also examine a new machine learning method that could improve performance in the TBs. Work to finalize
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transportable. A graduate student with a physics background is needed to perform software-assisted design of system components, write and apply computer programs capable of simulating MRI pulse sequences, and to
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an educator to teach a supplemental course(s) in our six-week summer college preparatory program, which serves high school students from Minneapolis Public Schools. The instructor will be responsible
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Previous Job Job Title UMD Stores – Computer Corner Assistant Next Job Apply for Job Job ID 372716 Location Duluth Job Family LR-Clerical Full/Part Time Part-Time Regular/Temporary Regular Job Code
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: April 24, 2026 About the job: The position will develop high-quality, stakeholder-ready topic papers designed to create learning modules for those working with and on behalf of young people. These topic
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and Controls. To learn more about the Department of Electrical and Computer Engineering at the University of Minnesota, please visit the department website (https://cse.umn.edu/ece). Pay and Benefits
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. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and multi-omics data. Additional responsibilities include mentoring students, collaborating with faculty
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-oriented Preferred Qualifications Proficiency in molecular biology techniques and directed evolution Experience with mechanistic modeling and/or machine learning/artificial intelligence to guide protein or
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for autonomous vehicle control and teleoperation applications. Expertise in the areas of vehicle dynamics, vehicle control, localization, computer vision, sensor fusion and estimation algorithms is desired