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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 15 hours ago
Zone Description The DOE Scholars Program at the U.S Department of Energy Office of Policy provides paid opportunities for undergraduate and graduate students, and recent graduates to: Be part of
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intelligence, including reinforcement learning, computer vision, and deep neural networks applied to robotics. Track record of peer-reviewed publications and active participation in interdisciplinary research
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, Microsoft Office suite utilization (Excel, Word, PPT), molecular genetics wetlab methodology (pipetting, DNA/RNA extractions, Infinium-based array processing), written and verbal scientific communication
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fully funded postdoctoral associate position in bioinformatics and computational biology. This position will be jointly mentored by two investigators including, Dr. Li Chen (onsite) in the Department
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, geriatrics, and advanced liver disease. Education: We educate trainees and practicing clinicians on primary palliative care principles from multiple disciplines and subspecialities. Our program has five ACGME
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care, and population health. BMI faculty and trainees develop and apply cutting-edge computational methods, artificial intelligence, and data integration strategies to transform complex biomedical data
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The New York Times has called ?the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative
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breeding blankets, including computational fluid dynamic (CFD), thermal hydraulic, and magnetohydrodynamic (MHD) analyses. We seek individuals with advanced analytical and computational skills who can use
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information here ! PURPOSE We are seeking a highly motivated researcher with a strong background and interest in machine learning and artificial intelligence. The position focuses on the development and
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at cutting-edge chemistry, physics, and materials research. Ames National Laboratory is a world leader in catalysis, polymer upcycling, separations, computational chemistry, rare earths, quantum materials