163 machine-learning "https:" "https:" "https:" "https:" positions at University of Minnesota
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status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon
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; Computer Engineering, VLSI, and Circuits; Fields, Photonics, and Magnetics; Micro and Nano Structures; Sustainable Energy Systems, Power Electronics and Drives; Systems and Controls. To learn more about the
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computer resources and software including email, Microsoft Office, database systems, survey software (e.g. REDCap, Qualtrics), PDF files, Zoom, and other web-based platforms such as search engines, google
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and communities with compassion and respect. We value excellence, inclusiveness, collaboration, and discovery. To learn more about the Department of Surgery, please visit https://med.umn.edu/surgery Pay
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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. Creation and sharing of computer code for analysis of EEG and fMRI data. Consultation on statistical analyses. Consultation on EEG collection, processing, and analysis. Qualifications All required
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for part-time, non-tenure track, adjunct faculty positions to teach undergraduate courses in the following area: Labor Economics beginning in Spring 2026. Job Title: Assistant Professor if the candidate
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of computer algorithms/code related to simulations, data analysis, visualization and dissemination in support of space physics research. Job Duties 65% Implementing, testing, editing and running simulation
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status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon
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responsibilities: 70% - Analyze protein structures and sequences to understand mechanistic differences within major protein families; 20% - Use machine learning and other AI to facilitate studies; 10% - Consult with