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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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methods Knowledge of handling radioactive materials is considered an asset Experience in radiochemical methods is considered advantageous Highly qualified and highly motivated graduates and interested in
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knowledge in the areas of solid state physics, Magnetism and nanoscale phenomena Hands-on experience in one or more of the following methods is an advantage: Thin-films preparation, magneto-optical
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and the effects of disordered correlated microstructures on diffusion; iii) development of energy-based models and numerical simulations of hyperuniform assemblies; iv) development and application
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breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
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Some experience with numerical simulations such as the Finite Element Method (FEM) and Multi-Body Simulation (MBS) is a plus. We offer: a fascinating understanding at mobility in general with a
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, either in social anthropology, science and technology studies (STS), sociology or a closely related discipline (required) experience with qualitative ethnographic methods (required) proficiency in written
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-field measurements, HPC-based numerical simulations, and laboratory experiments. Oldenburg is particularly renowned for its unique large wind tunnel with an active grid and leading expertise in developing
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compact accelerators at DESY. In addition, state-of-the-art photonic technologies developed at DESY play a key role in numerous transfer activities carried out in collaboration with industry. Building up