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from outside the University of Stuttgart can attend courses and seminars specially designed for simulation technology are able to exchange technical and methodical information are integrated
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at all stages of their careers. It promotes independent thinking and provides an environment for responsible action. In doing so, it educates individuals into exceptional experts who think in
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full-time Mode of study Less than 50% online Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study Combination of on-site and online
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12.10.2021, Wissenschaftliches Personal The TUM Professorship for Data Science in Earth Obervation is seeking a full-time PhD candidate on the topic of “Multi-scale Semantic Understanding
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privacy-preserved fashion. Research topics include, but not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and
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privacy-preserved fashion. Research topics include, but not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and