357 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Virginia Tech
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Job Description Applications are invited for a Research Associate Professor (non-tenure track) with the Systems Software Research Group (http://www.ssrg.ece.vt.edu/) at Virginia Tech. The position
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other members of the group and with some of the leading experimental and theory groups around the world. Our group is part of the DOE Quantum Center “Codesign for quantum advantage” (https://www.bnl.gov
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roads. (https://www.youtube.com/watch?v=Nj4VWviw5JA). The Division of Freight, Transit, and Heavy Vehicle Safety (DHVY), a research-focused group within VTTI, seeks qualified, experienced and ambitious
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, and others to improve transportation safety and performance on our roadways. (https://www.youtube.com/watch?v=Nj4VWviw5JA) The Division of Freight, Transit, and Heavy Vehicle Safety (DHVY), a research
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(CFD) simulations. More information on Prof. Liselle Joseph and the PHASE research group can be found at the following link: https://www.aoe.vt.edu/people/faculty/liselle-joseph.html. This role offers
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knowledge of healthcare systems, electronic health records, and healthcare data standards are highly desirable. Background of strong expertise in mathematical modelling, optimization, machine learning, AI
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systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine first-principles modeling, machine-learning
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work environment. You will have the opportunity to engage with a diverse range of individuals, learn from experienced professionals, and contribute to the success of both the office and the university
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. • Proficient communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning
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origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation