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environmental engineering, mechanical engineering, electrical engineering, material science, or related disciplines *Experience with hardware/software integration, with a focus on system controls *Experience with
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PhD in a related field (e.g., statistics, computer science, electrical engineering, applied mathematics, or operations research), before September 2024, are encouraged to apply. Ideal candidates will
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, understanding, or engineering of large AI models, or their applications in science and engineering. Applicants may also be interested in the Natural and Artificial Minds initiative, which is also seeking
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applicants from diverse backgrounds such as computer science, electrical and computer engineering, sociology, public policy, information science, communication, economics, political science, psychology
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beneficial, but not required. Candidates must have (or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering, or related fields. Specific
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improve AI systems. Candidates should have recently received or are about to receive a Ph.D. or doctorate degree and have a strong interest and track record in designing, understanding, or engineering of AI
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environmental engineering, mechanical engineering, electrical engineering, material science, or related disciplines *Experience with hardware/software integration, with a focus on system controls *Experience with
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-wave modeling, broadly defined. The research would be performed within the Department of Mechanical and Aerospace Engineering with strong ties to the High Meadows Environmental Institute. Positions may
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energy and technology. The primary purpose of this position is to lead an innovative laser-based spectroscopic diagnostic project aimed at measuring electric and magnetic fields in magnetically confined
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to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry, Electrical, Chemical, Mechanical or Bio Engineering or related area is required. We