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Field
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of MIRMI. At the Geriatronics Research Center – part of MIRMI and located in Garmisch-Partenkirchen – we develop cutting-edge solutions to enhance quality of life in older age and improve the efficiency
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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this Center: (1) develop a new set of consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods
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of highly technologized societies, and to train future leaders with a unique sensibility for the critical interface between science, technology and society. As one of Europe’s largest hubs for STS, we are a
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. TASKS: Mathematical modeling and development of inverse methods (e.g. Bayesian inversion, optimization based methods, sparsity promoting methods based on L1-norm minimization and compressed sensing
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functionalities. The prospects of porphyrin-based 1D, 2D, and 3D materials for device development will be assessed in collaboration with research partners from industry and academia. A key concept is to combine
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orientation period, you will have the opportunity to take over the leadership of a team in the EV Lab. Your professional and private development is very important to us and will be actively supported. You are
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peer-reviewed scientific journals Contribute to the acquisition of third-party funding Prepare smaller grant applications, for example for travel support Your profile PhD degree in Biology, Genetics
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responsibilities: You can support our team at the moment by taking responsibility in the development of two research areas: One position is located in the area of mobile computing and edge computing for geospatial
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal