49 phd-sandwitch-in-architecture-and-built-environment Postdoctoral positions at Technical University of Munich
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School of Management is part of TUM, one of the leading technical universities in the world. With its strong research environment and close ties to industry, the school constantly scores well in rankings
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25.06.2021, Wissenschaftliches Personal We are an active and lively research group who is passionate about science. We are working in an environment which may best be characterized by the passion
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation
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. • Publications: Prepare and publish research findings in high-impact, peer-reviewed journals. Qualification We are looking for a candidate with the following qualifications: • PhD in Physics, Photonics, Polymer
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have an excellent PhD in one of these areas or related fields (in applied mathematics, computer science, or a related discipline.) The candidate should have an excellent publication record commensurate
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of extension. The ideal candidate will have an excellent PhD in one of these areas or related fields (in mathematics, theoretical physics, or a related discipline.) The candidate should have an excellent
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) at the Technical University of Munich (TUM) is looking for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and built their early
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of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of environment, and the future of mobility. More than 50
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of healthcare, science, technology, society, and the environment. Our mission encompasses both theoretical and empirical methods to foster ethical, transparent, and interdisciplinary research, education and
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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