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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month 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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 12 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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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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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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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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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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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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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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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