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Open Date Nov 06, 2024 Description The University of Oklahoma (OU), Norman campus, seeks to fill a full-time Research Scientist position in Quantitative Ecology, Applied Mathematics, and/or Computational
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DOE’s missions. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs. Essential Duties And Responsibilities Conduct research in ML, LLMs
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mathematics, statistics). Solid programming skills and computer science knowledge. Familiar with deep learning libraries. Research experience and good publication track record in machine learning field
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experience, or a Master's degree with 1 or more years of relevant work experience, or a PhD degree in computer science or a related field (e.g., engineering, applied mathematics, statistics). Good research
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: Doctorate (PhD or MD/PhD) in area directly related to field of research specialization, required. Doctorate degree in Computational Neuroscience, Physics, Applied Mathematics, Bioengineering or related field
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Computational Neuroscience is preferred, but other strong applicants are considered (with background in Computational Physics, Applied Mathematics, Biophysics, and related disciplines). Experience with parallel
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developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology