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-fuels. It will involve studying the behavior of methanol synthesis catalysts under varying reaction conditions, proposing an associated kinetic model, and implementing the reaction kinetics into a
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 6 days ago
of meteorites as well as numerical modeling on state-of-the-art supercomputers. We invite applications for two Postdoctoral Positions (f/m/d) on SO/PHI data reduction and exploitation. The solar department
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on the numerical and mathematical modelling of these complex atmospheric phenomena. This is a multifaceted research role that draws on mathematical modelling, high-fidelity numerical simulation, and close
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About the Role We are seeking a Postdoctoral Research Associate in Computational Modelling for Cardiovascular Digital Twins to join a team working on the Precision Health, Cardiovascular Devices and
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help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 17 hours ago
investigations of meteorites as well as numerical modeling on state-of-the-art supercomputers. The Department Solar & Stellar Interiors at MPS invites applications for the position of a Postdoctoral Researcher (f
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) infrastructure of New York State’s Empire AI enabling us to train large AI models that will outperform traditional numerical prediction models. Duties: ● Design, train, and evaluate novel AI/ML models. Develop
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to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. The work will combine fundamental modelling, numerical simulation and experimental validation, with a strong
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PostDoc in aerobiological modelling Are you interested in atmospheric science and can you contribute to the development of a new generation of numerical models describing concentrations and
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geometry Lena Bunina Model theory, AI in mathematics, algebraic groupsmodel theory of groups, Chevalley groups, applications of AI to mathematics Shira Faigenbaum-Golovin Manifold learning, shape space