557 machine-learning "https:" "https:" "https:" "https:" "The Open University" "The Open University" positions at University of Virginia
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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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clinical practice opportunities, and are offered in 13-week blocks, which may be renewed up to a maximum of 39 weeks. $2,500.00 incentive bonus with first 13-week assignment. Please visit: https://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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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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and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/. The University of Virginia is an equal opportunity employer. All interested
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The Department of Anesthesiology at the University of Virginia School of Medicine seeks applications for a full-time position of Assistant Professor of Anesthesiology. Responsibilities Teach
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established protocols and procedures. Key Responsibilities: Support clinical and translational research activities, including sample collection and preparation, data collection, and analysis. Learn and apply
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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
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hearing (correctable), and for some areas of employment, color vision and sense of smell. To Apply: Apply online at http://jobs.virginia.edu/us/en/job/R0077225/Emergency-Generator-Assistant-Technician
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package comprising predictive software, data analytics, and machine learning. The candidate will work closely with and report to the Software Architect of the research Center led by Dr. Xinfeng Gao. As a