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engineering and especially in aircraft design is required. Expertise in testing and test equipment as well as (manufacturing and) operation of high-performance model/scale aircraft is required. You should be
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: A master’s degree in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or a related field A solid background in dynamic programming, Markov decision processes
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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problems. Use the measurement / test data to identify the high-fidelity modelling parameters by solving the inverse problem. Validate the digital model against test scenarios. Perform what-if analyses
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, industrial engineering, business informatics, or economics), informatics, or natural sciences/engineering with an outstanding degree (resp. graduation shortly) Internships or other professional experiences
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they interact and connect with each other. The doctoral researcher will develop computational indicators that capture these patterns from digital communication data, model how learning relationships form and
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(PhD, 75%, 30h per week). Remuneration is in accordance with the German public tariff scheme (TV-L), salary group E 13. The successful candidates will be part of the Munich Climate Center and the Earth
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research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and supported by extensive national and
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the development of novel optical technologies addressing significant biological and medical challenges. The Mission: The successful candidate will play a key role in an ambitious research program focused
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learning, chemical intuition, and experimental feedback, you will help reveal the mechanistic origins of high-performance separation membranes and provide design rules for next-generation materials