23 machine-learning "https:" "https:" "https:" "https:" uni jobs at University of Virginia
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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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modalities Experience with signal enhancement, machine learning, or data-driven imaging analysis Track record of publications in high-impact scientific journals, conferences or patents. Experience contributing
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toward their desired path after high school—from exploring careers to assisting with applications. Learn more about AdviseVA here: https://adviseva.virginia.edu/ AdviseVA considers a variety of
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. They will serve as the financial liaison with the Dean’s Office of the Engineering School. They should make meaningful contributions on a daily basis and be willing to acquire new skills as the needs
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. The University of Virginia School of Engineering and Applied Science Department of Electrical and Computer Engineering seeks qualified candidates to teach the Applied Circuits undergraduate course in Electrical
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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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data from mobile, wearable, and environmental sensors. The successful candidate will create and deploy models that integrate machine learning, signal processing, and large language models (LLMs) to infer
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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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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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sessions by preparing rooms and assisting with procedures in a simulated environment. Exposure to Innovation: Observe and work alongside faculty and industry partners as they introduce and teach new surgical