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available in the Materials Science and Engineering & Applied Physics Program. This position focuses on materials for harsh environmental conditions (e.g., high temperatures, high pressures, and high-corrosion
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must possess sufficient manual dexterity to perform routine office tasks and visual acuity to read documents, analyze data, and work on a computer screen for extended periods. The position also requires
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particularly in heat physiology and the physiological bases for physical work tolerance. Key Responsibilities: The candidate will work closely with Programme Director in the following areas of responsibilities
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analytics and artificial intelligence to improve health and human disease. The UM-IHC is equipped with a high-performance computing cluster and access to multiple real-world clinical data sets. While
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for graduate students from non-traditional backgrounds (including those that are first generation). The PEM Program Coordinator will perform operational and administrative activities for the program within
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Department/Organization 214251 - Electrical and Computer Eng Rank Teaching Assistant Professor Position Summary The Department of Electrical and Computer Engineering and the Lee J. Styslinger Jr
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. For a Computer Science professor, this may mean one would be able to serve as an outside consultant, continue to run a business, or to perform contract work alongside teaching. Direct, active involvement
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cutting-edge research on efficient and sustainable artificial intelligence technologies, advancing the development of foundation models that are both high-performing and environmentally responsible. You
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
scientists, and research staff to transform complex clinical data into high-quality, research-ready assets. The role requires expertise in data engineering, data integration, and clinical research informatics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
scientists, and research staff to transform complex clinical data into high-quality, research-ready assets. The role requires expertise in data engineering, data integration, and clinical research informatics