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numerical modelling of complex geochemical datasets to advance our understanding of the Earth system and its interconnected components of geosphere, hydrosphere, atmosphere, biosphere and associated (bio
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numerical modeling (ocean, sea ice, atmosphere) or in physical model emulation; Knowledge of data assimilation methods (4DVar, EnKF, En4DVar) and their practical implementation; Research experience in machine
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. Numerical modeling of Mercury's magnetosphere and ion dynamics 2. MSA instrument data analysis LPP (Laboratory of Plasma Physics) is a joint research unit of the CNRS, École Polytechnique, and Sorbonne
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hydrodynamic models to simulate waves and currents at the field site. Analyze and interpret experimental and numerical data, and disseminate findings through technical reports, conference presentations, and peer
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This doctoral position is part of GRAIL (“Gamma Radiation from the Atmosphere for Investigation and Learning”), a prestigious Horizon Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN): https
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Application of self-consistent continuum solvation models to account for solvation effects Collaborating with peers including experimental project partners Publishing results in academic and peer-reviewed
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LES resolved wake dynamics and the coupling to aero-elastic models and wind turbine control. You will be a member of the Fluid and Offshore Mechanics section, which has a strong track record in offshore
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solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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component, particularly magnetic components, Optimization and surrogate-modeling in Python, Integration of machine learning and numerical methods. We encourage applications from candidates with a strong