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Field
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numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary research questions. The successful candidate will also have the
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The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and
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with at least 3 years of research experience in a field related to numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary
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encouraged to build on previous work within the framework of planet formation models. Required skills: Strong understanding of broad aspects of formation of stellar systems, including numerical/hydrodynamic
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... Your PhD research focuses on several topics like the development of a novel prognostics model based on the evaluation of sensor data and for this specialized methods. Purpose is the updating of digital
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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, providing a solid foundation for further investigation. Your tasks and responsibilities Develop and validate cellular models of acute paralogue dysfunction in developmental contexts (e.g. degrons) Map binding
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... Your PhD research focuses on several topics like the development of a novel prognostics model based on the evaluation of sensor data and for this specialized methods. Purpose is the updating of digital
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soon as possible. The position is within the Math+ project "Anisotropic microfluids -- fluctuations, control, effective models and their numerics “. Here, we study anisotropic microfluids and the effect
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 1 month ago
, i.e. the green transition, with the ultimate goal of reaching climate neutrality by 2050. By leveraging characterisation, multiscale modelling, machine learning, and numerical optimisation, the project