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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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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 an integrative and global manner and
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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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skills in the application form and explain why they think their English skills are sufficient to successfully complete doctoral studies at IMPRS-ML. In that case, it is helpful if your academic training
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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
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address any questions on current topics to Dr. Melanie Köhler (m.koehler.leibniz-lsb(at)tum.de ) and get in touch if you think you would be interested in working as part of our team. More information on the