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. Support & Administration of early intervention focused on communicative skills in infancy. Analyze and interpret behavioural and audio-visual data as well as documentation of study data and database
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the research group on Scientific Computing and High Performance Computing. For more details, see https://www.peter-zaspel.de/ and https://hpc.uni-wuppertal.de . Prof. Dr. Michael Günther is professor in
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organised by the doctoral students and invited professors Connection to our Franco-German research and professional network Assistance with professional integration Financial support of 5,000 EUR in three
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the preparation and realisation of doctoral studies in Bamberg. It provides international scholars with information and tailored assistance in all matters related to the non-subject-specific aspects of their stay
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. Please note: If you have any technical questions or problems your local information and advice centres could not help you with, please do not hesitate to contact portal@daad.de via e-mail. Please consider
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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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expertise and support of a professor/senior lecturer as well as a work place and equipment to carry out the research. Often, funding is also included. As part of the research project, a clearly defined topic
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of analysis and visualization software Very good written and spoken English skills are required Furthermore, experience in dealing with the ICON model and the scientific utilization of ICON data is an advantage
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primary objective remains the completion of a high-quality doctoral dissertation. Throughout the process, students benefit from the guidance of internationally recognised professors and scientists, ensuring
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13