17 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Virginia
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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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ability to learn new information quickly. EMRO collaborates with study investigators inside and outside of the Emergency Department. Therefore, this role offers the ability to work at a high level with both
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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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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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. For more information, visit https://careers.uvahealth.org/us/en/support-staff. This patient focused role is responsible and accountable for various aspects of the patient access experience including but not
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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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machine learning. The research associate is expected to conduct research on human-fires interactions in built environment. QUALIFICATION REQUIREMENTS: A PhD in atmospheric science, geography, environmental
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Dr. Teague Henry at the University of Virginia invites applications for a post-doctoral research associate with expertise in intensive longitudinal data, machine learning, and digital intervention
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multidisciplinary experience in combining integrative computational immunology – data-driven, state-of-the-art single cell resolution and spatial methods, machine learning and kinetic modeling – with integrative
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an ability to learn new information quickly. Job Description: · Recruit, screen, and enroll study participants who meet research criteria for multiple clinical trials. · Obtain informed consent