121 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions
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ability to interpret complex information and data. Advanced statistical analysis, machine learning and artificial intelligence knowledge and skills. Strong organizational skills, excellent oral/written
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demography, with over 200 affiliated faculty, graduate students, and postdocs. See http://www.cpc.cornell.edu/ for more information about CPC. Applicants must have completed a Ph.D. in demography, economics
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assembly and annotation Experience working on computer clusters and handling large datasets Laboratory skills including DNA/RNA extraction and library preparation Demonstrated advanced bioinformatics skills
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members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory . Equal
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-preserving and data-driven reduced order modeling scientific machine learning In addition to research, the postdoctoral researcher will engage in mentoring and outreach activities and will be expected to teach
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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students a transformative, globally connected learning experience. Consistently ranked among the nation’s top universities by U.S. News & World Report, Loyola is a STARS Gold-rated institution that is ranked
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include experience with fiber sensing, machine learning tools, and big data workflows. Instructions To apply, candidates will submit materials via Interfolio, comprising (1) a letter of interest describing
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Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial intelligence (ML/AI) techniques that incorporate
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The position will involve developing new mathematical/computational methods at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models