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research data; a comprehensive qualification program incorporating hybrid lectures, weekly seminars (hybrid and on-site), lab rotations and hands-on training; annual summer/winter schools and complementary
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qualification program incorporating hybrid lectures, weekly seminars (hybrid and on-site), lab rotations and hands-on training; annual summer/winter schools and complementary skills workshops. TUD strives
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in applied research abroad for their outstanding scientific achievements. For more information please see the Fraunhofer-Bessel Research Award programme information. Programme information (PDF, 71 KB
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with hosts in other countries. Programme information for postdocs (PDF, 132 KB) Programme information for experienced researchers (PDF, 138 KB) Search for potential hosts in the Humboldt Network (German
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 19 hours ago
Dresden University of Technology (TUD) Course location Dresden In cooperation with Dresden University of Technology (TUD) Teaching language English Languages The programme is conducted in English. Full-time
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personal (marriage or civil partnership) or familial (parents, siblings, children) relationship cannot be selected as hosts. Programme information (PDF, 151 KB) Information for academic hosts Information
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 24 days ago
logistics, including maintenance of equipment and ordering of consumables. Organisation of the internship programme, induction of new interns and coordination of their research activities. Your profile
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part-time, with 65% of the regular weekly working hours (currently 25.35 hours) and should be used for a doctorate. Participation in the accompanying doctoral programme is compulsory. This serves
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part-time, with 65% of the regular weekly working hours (currently 25.35 hours) and should be used for a doctorate. Participation in the accompanying doctoral programme is compulsory. This serves
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highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the