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Field
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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on various installations (laser fs or ns, XFEL, synchrotrons, high pulse power), and developing numerical simulations and analysis tools. In order to develop new models into ESTHER, the candidate will be
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: Molecular modelling and simulation experience during PhD Ability to present complex information effectively to a range of audiences Experience of manipulating and visualizing large datasets We value
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project. The position will provide core expertise in physics-based environmental and ocean modeling, with emphasis on numerical simulation and prediction of ocean conditions such as currents, tides, waves
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in engineering applications. This includes working with hybrid approaches that combine advanced damage models with machine learning-enhanced numerical simulations, and exploring how these approaches
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, logistics chains, etc. The research involves extensions to the DTaaS platform with different security principles and defining security policies that supports co-simulations by multiple autonomous actors. A
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ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ
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consequently more heat flux from the relatively warm, deep Arctic to the vulnerable surface sea ice. Climate models do not currently represent these processes, which are dynamically different from those
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, theoretical modelling and numerical simulations. The team focuses on model materials with controlled physical parameters, enabling quantitative comparisons between experiments, models and simulations, with
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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together