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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 10 days ago
processing is required. Our research group utilizes ultra-high vacuum and cryogenic laboratory systems equipped with various radiation sources to simulate these extreme conditions, investigating gas-grain
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
-methods project includes use of nationally representative surveys, literature reviews, causal loop diagramming, an expert elicitation process, and simulation modeling. The postdoc will take part in study
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strategies and artificial intelligence based on chemical analysis results. The researcher will be responsible for the integration, processing, and interpretation of data, applying statistical methods and
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Researcher for the exercise of research activities in the scientific area of Materials Science and Engineering, to exercise the functions of processing and fractionation of vegetable by-products; development
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive
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integrated circuits (PICs) tailored to quantum applications. Quantum technologies, including neutral atom quantum computing and simulation, rely heavily on photonics for encoding, processing, and detecting
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that responsibilities identified within internal processes such as Health and Safety guidelines etc. are robustly met by all research team members. To take responsibility for planning and developing research methods and
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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and
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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and