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of thin film depositions, with a special focus on models for chemical reactions in combination with fluid dynamics. Thin layers, or films, of various materials are of high technological importance in many
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simulations with advanced fluid modeling, the project will enhance our understanding of extreme particle energization events that impact infrastructure in the near-Earth space environment and on Earth. Who we
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Grant which started on January 1st 2025. The research team is led by Dr. Karolin Obert and will include three postdoctoral researchers as well as administrative and technical staff. We are now looking for
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of light guidance in HCFs, and thermo- and fluid dynamics under fiber-drawing processes; experimental investigations of material properties of ultra-thin silica membranes (through e.g. transmission-electron
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Computational Physics o Electrodynamics o Statistical Physics o Fluid Dynamics Previous experience or knowledge in the following areas is essential: o Data analysis o Programming skills (e.g., Python
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following topics: o Space Physics o Plasma Physics o Astrophysics o Engineering Physics o Computational Physics o Electrodynamics o Statistical Physics o Fluid Dynamics Previous experience
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following topics: - Space Physics - Plasma Physics - Astrophysics - Engineering Physics - Computational Physics - Electrodynamics - Statistical Physics - Fluid Dynamics Previous experience
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(e.g., completed courses) in one or more of the following topics: · electrodynamics · statistical physics · fluid dynamics · plasma physics · space physics Previous
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or combustion processes. Knowledge of optical measurement techniques. Familiarity with fluid dynamic measurements or simulations. Contract terms This is a full-time, temporary position. The employment is limited
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framework that integrates multiscale molecular dynamics (MD), AI and machine learning (ML) approaches, that together with biophysical characterisation techniques will advance the current state of lipid