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complex environments in Unreal or Unity • Deep understanding of real-time rendering architectures and performance optimization • Experience designing scalable interactive systems • Strong computational
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of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 15 days ago
. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration statuses that are acceptable for program
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/Area Computer Science Position Description Accepting applications for postdoctoral position in Reinforcement Learning, Probabilistic Methods, and/or Interpretability. Information on the lab can be found
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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the Northeastern University-Moderna Academic-Industrial Fellowship Program. The Postdoctoral Fellows will support efforts in either Pharmacometrics (PMx) or Quantitative Systems Pharmacology (QSP). Both fellows will
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Ph.D. in Computer Science, Data Science, Economics, Engineering, or related field Excellent scientific written and oral skills Experience in developing state-of-the-art optimization and prediction models
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) participant, you will join a community of scientists and researchers in an effort to optimize collection methods and protocols for human biofluids. This project will be in support of the Air and Space
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Posting Details Position Information Posting Number SRGV8873 Working Title POSTDOCTORAL FELLOW Number of Vacancies 1 Location Edinburg, Texas Department College of Engineering and Computer