458 machine-learning-"https:" "https:" "https:" Postdoctoral positions in United States
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of faculty at SUNY Polytechnic Institute and the University of South Florida, consisting of mathematicians, physicists, computer scientists, and engineers investigating applications of deep learning
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Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering, to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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Postdoctoral Research Associate (Electrical and Computer Engineering) Posting Number req24681 Department Electrical and Computer Engr Department Website Link https://ece.engineering.arizona.edu/ Location Main
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information at BNL | Benefits Program The Chemistry Division (http://www.bnl.gov/chemistry) of Brookhaven National Laboratory (BNL, http://www.bnl.gov) seeks a postdoctoral Research Associates to join the newly
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understanding of activity, role and purpose of thinking in an age of machine learning, cognitive and neural engineering and enhancement. Approaches that emphasize diverse forms of thought (animal cognition
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Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing
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letters of reference, all in PDF format. If you have any questions, please email zw966@nyu.edu , samreen.malik@nyu.edu , rs8561@nyu.edu or wha221@nyu.edu . About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU
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morphology (e.g., geometric morphometrics, machine learning), and phylogenetic comparative approaches. We have: • An engaging, supportive, and collaborative research environment. • Opportunities
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an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions