533 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Virginia
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The Department of Electrical and Computer Engineering at the School of Engineering and Applied Science at the University of Virginia is seeking qualified candidates for a Research Scientist position
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, and MR spectroscopic imaging using machine learning; candidates with experience in these areas are encouraged to apply. PREFERRED QUALIFICATIONS: APPLICATION PROCEDURE: Apply online at https
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link: http://jobs.virginia.edu/us/en/job/R0080237/Distance-Learning-Support-Technician-Darden-School-of-Business . Internal applicants may search and apply for jobs on the UVA Internal Careers website
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to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
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to teaching excellence. Previous K-12 or higher education teaching experience in the course content area is strongly preferred. To apply, please submit an application online at https
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Energy Spectroscopic Instrument (DESI), Simons Observatory (SO), the Legacy Survey of Space and Time (LSST). We are also interested in candidates who will apply Artificial Intelligence/Machine Learning
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to 1500 hours of work in a year. For more information, refer to the Wage Employment link: http://uvapolicy.virginia.edu/policy/HRM-029 . To apply, please submit an application online at https
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a rich experimental environment that encompasses both basic and translational research For an overview of our recent publications, please visit: https://med.virginia.edu/le-lab/publications
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to 1500 hours of work in a year. For more information, refer to the Wage Employment link: http://uvapolicy.virginia.edu/policy/HRM-029 To apply, please submit an application online at https
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which is not eligible for leave or other benefits and is limited to 1500 hours of work in a year. For more information, refer to the Wage Employment link: http://uvapolicy.virginia.edu/policy/HRM-029