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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