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modeling and simulation to complement physical experiments Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and apparatus development Additional background in areas
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3,000 work in administration and organisation. We are looking for a Postdoc in Atmospheric Transport Modelling 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 01.04.2025 | Working hours
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models of impurity-host coupling and identifying optical signatures of correlated and topological phases. This position offers an opportunity for multi-institutional collaboration with experimentalists in
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-month PostDoc position in modelling land-cover change at watershed-scale. Project Overview Deep-C brings together a consortium of experimentalists and modelers to explore the coupled carbon (C) cycling in
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staff position within a Research Infrastructure? No Offer Description The project aims to develop and validate advanced Artificial Intelligence models for automated segmentation and prognostic assessment
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and virtually. In doing so the traditional energy-supply business models will also evolve, as these plants will be able to stack additional revenues from their flexibility and capacity to perform sector
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 10 hours ago
traditional predictive attempts and limits the availability of training data for high-resolution atmospheric and hydrological models. This limitation is compounded by the fact that many atmospheric reanalysis
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administration and organisation. We are looking for a Postdoc in Atmospheric Transport Modelling 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 01.04.2025 | Working hours: 40 | Collective
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Postdoctoral Research Associate in Transportation Systems Modeling & Urban Mobility Analytics Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S
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approaches treat NP design as static property prediction. This project takes a fundamentally different approach: using generative models to propose novel NP formulations and coupling them with explainability