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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 days ago
engineering (within the past 3 years) with a strong background in particle-based (kinetic) and fluid (continuum) methods for the modeling and simulation (M&S) of dense and rarefied ionized gas flows. Candidates
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of transport‑related emissions. In both positions, the overarching ambition is to extend large‑scale transport simulation models into next generation transdisciplinary frameworks that integrate energy, emission
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that include a mix of research design, fieldwork, data science, simulation modeling, writing, and presentations. The overarching goal of the Postdoctoral Associate will be to systematically investigate, evaluate
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Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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We are seeking a motivated postdoc to join our growing team in the Yale University Department of Genetics. Our lab uses experimental and computational methods to investigate cellular and health
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to represent and model expectations using formal methods, develop techniques that help a system reason about human expectations at runtime, and evaluate the contributions using simulations and experiments with
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: the process modelling and development of CO2 hydrogenation to methyl formate, and the reaction engineering and kinetic analysis of alkylamine synthesis. Your responsibilities include: Reaction optimization
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diagnosis and prognosis. The postdoc will work with both laboratory and real-world operational data, and develop and validate diagnostic and prognostic models. The project provides an opportunity to work with
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is expected to contribute to foundational research in dynamic modeling, stability analysis, and control of coupled data center–grid systems. Emphasis will be placed on developing new theoretical
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nitrogen dynamics, and climate change mitigation potentials in agroecosystems. You will be contributing specifically to the area of regional simulation using process-based models and advanced statistical