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Institute faculty, in areas such as: * Machine Learning and Computer Vision * Natural Language Processing and Data Science * Biomedical Informatics and Computational Neuroscience * Mathematical/Theoretical
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Requisition Id 15147 Overview: Oak Ridge National Laboratory is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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sciences and energy; social sciences; arts and humanities; and computer and information sciences. The Research Foundation, a private, not-for-profit corporation, is an employer separate from both SUNY and
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Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary M-F 8-5 VP Area U of U Health - Academics Department 02171 - Education Program and Trainees Location Campus City Salt
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should have a Ph.D. in Mechanical Engineering, Biomedical Engineering, Materials Science and Engineering, or other related disciplines. The candidate should have a very strong background in materials
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Assessment Program (AWQUA ) team. They will be jointly supervised by Erin Seybold (Assistant Scientist) and Scott Ishman (Associate Director/Senior Scientist) in collaboration with Tom Mueller (Assistant
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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preparation and dissemination of findings at national and international conferences. Collaborate with investigators across rheumatology, pain medicine, biostatistics, informatics, and behavioral science
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information science, and applied social science research. This position is well-suited for someone interested in research design and the application of geographic principles and methods to policy analysis and
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conferences, workshops, and internal program review meetings Required Qualifications Educational Requirements Ph.D. in Mechanical Engineering, Materials Science, Manufacturing Engineering, Electrical