405 machine-learning "https:" "https:" "https:" Postdoctoral research jobs in United States
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of Biostatistics at University of Florida and Dr. Hongkai Ji (remote) in the Department of Biostatistics at John Hopkins University. This position, available immediately, focuses on developing statistical, machine
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software ● Minimum 1-year experience in machine learning methods Knowledge, Skills and Abilities: ● Excellent communication skills (written and oral) using the English language
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 5 hours ago
electrical or computer engineering; and physics and electrical engineering, are also offered in the college. Post-baccalaureate certificate programs in environmental studies, applied statistics, and geographic
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Qualifications Equipment Utilized Physical Demands and Work Environment Overview Candidates must be highly motivated, open to learning new techniques, and able to maintain excellent documentation of their results
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implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results. Draft
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
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Skills General office suite and willingness to learn lab specific programs Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct animal or
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models of potentials that appear in Hamiltonians for time-dependent quantum systems. The postdoc
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for a qualified, creative, highly motivated postdoctoral scholar to conduct research at the intersection of robotics, controls, and machine learning. The successful candidate will help shape next