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. The new recruit will be expected to hold a Master in Law with a strong focus on European Union Law. Demonstrable knowledge or experiences in the field, high academic grades, international degrees
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 4 days ago
, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Quantum Computing (QC), Artificial Intelligence (AI) and their applications. For more, see https
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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shapes—compete at low excitation energy, giving rise to remarkably rich and sensitive nuclear structures. A quantitative understanding of these phenomena requires precise knowledge of reduced
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university degree (Master`s or comparable) in the fields of chemical engineering, process engineering, technical chemistry, energy technology, or a comparable discipline Knowledge in the field of catalysis
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electromagnetics and antenna theory • Experience with numerical simulation tools (e.g., CST, HFSS, COMSOL) • Knowledge of microwave/millimeter-wave systems • Experience with laboratory measurements and experimental
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, preferably more. You have an excellent knowledge of English, both orally and in writing. You have a good knowledge of commercial law; knowledge of (European) financial regulation is recommended. You are
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semester Application deadline Will be announced on webpage: https://www.mgse.econ.uni-muenchen.de/application/index.html Tuition fees per semester in EUR None Combined Master's degree / PhD programme No
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Degree PhD Systemic Neurosciences Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network