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Foundation (DFG) project "Kernel interpolation on Riemannian manifolds", led by Dr. Janin Jäger. The project focuses on the mathematical analysis of kernel-based methods, in particular their interpolation and
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interdisciplinary projects. Development, testing, and evaluation of methods and software systems directly on our real test vehicles (see image) for automated driving. Application of modern software engineering
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multiple disciplines and cultures? Then joining the IPP is your opportunity to give your scientific career a flying start! All you need is: Master or equivalent Interactive personality & good command
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biological methods • Practical experience with microbiological working techniques • Excellent command in written and spoken English Desirable qualifications: • An excellent university degree • Strong
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biological methods • Practical experience with microbiological working techniques • Excellent command in written and spoken English Desirable qualifications: • An excellent university degree • Strong
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at the host-virus interface. Our central methodologies are solution NMR, crystallography and SAXS, together with a broad method spectrum from biochemistry and biophysics. In this project, we plan to analyze
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candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority
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university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
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quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are life science, medicine and health, earth observation, and robotics. Consequently, a MUDS student will learn
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simulation environments, numerical methods, or machine learning approaches is an advantage Fluent command of written and spoken English is necessary; German is an advantage but not required High degree