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an opening for a Research Associate position focused on machine learning and data science applications in Astrophysics. We seek a research associate with strong experience in data science and machine learning
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for managing the department machine shop, providing fabrication services and ensuring the procurement, setup, and maintenance of equipment and materials needed to facilitate teaching and research activities
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Labs are often the first exposure to CSE-IT that students encounter. We want the computer labs to be as professional, clean, and operational as possible. This is a first level user support position
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demonstrated experience with a set of tools appropriate for working with large-scale data science including application of machine learning. In addition, applicants must have demonstrated leadership experience
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specialized equipment and computers for the lab and offices (i.e., updating licenses and drivers, assisting trainees and staff with remote access, and other computer issues, etc.). There will be opportunities
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opportunities for shared learning and program development with community stakeholders to understand the connections between culture and health. Partner with the Minnesota Department of Health and County Public
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combination of education and/or experience equal to at least 6 years At least one year working within a Learning Management System One year of experience designing instructor-led or computer-based learning
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Code 0001 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job This is a Temporary Casual position located in Wilson Library on the West Bank Campus. It is a computer-based
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: High-fidelity Simulations Computer Operator & Embedded Participant 50% Working in the MSIM center, this position will run the medical simulation computers and/or work in the simulation as an embedded
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courses or 8 credit hours annually. Candidates are encouraged to develop new courses aligned with their expertise, particularly in big data management and analysis, data visualization, or machine learning