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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
registered member of ABCP. Clinical pharmacology, in the broadest sense, encompasses drug discovery, clinical development, regulatory issues, therapeutic use and individualization of drug therapy, optimization
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
. Approximately two hours from UNC-Chapel Hill , the NRI is located on the beautiful North Carolina Research Campus (NCRC) in Kannapolis, NC , a mid-size city with a small-town feel. The institute is within
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. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our
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and remote sensing. Experience with environmental modeling, downscaling, and data integration techniques. Salary Range $55,000 + depending on qualifications. Working Conditions May work around standard
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of scholars, students, and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery, and engagement. Cornell’s regional and
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is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a
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and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission
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perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected
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on many-body phenomena relevant to near-term quantum platforms. Topics of research include but are not limited to the following: Quantum Dynamics, Topological Phases, and Quantum Sensing. Qualifications A
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI