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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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available in the further tabs (e.g. “Application requirements”). Programme Description The Munich Aerospace e.V. Bavarian Research Network was initiated in 2010 to combine key expertise in the field
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sciences and build an interdisciplinary network of experts on the environment. To this end, the scholarships help finance doctoral theses which clearly address topical environmental protection and nature
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to the alumni network of the Ernst Ludwig Ehrlich Studienwerk. Target Group technically qualified Jewish doctoral candidates in all disciplines and concentrations (except medicine) and non-Jewish PhD students who
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in living adaptive networks Biophysics: High-resolution structural and mechanical studies of molecular motor proteins at the nanoscale Required Documents Required Documents CV Certificates Motivation
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Excellent command of spoken and written English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking
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Value 1,500 EUR per month contribution to statutory health insurance networking within student and working groups comprehensive seminar programme participation in symposia Application Papers Application
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch preferably also background
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scholarship holders or offers from the alumni network Application Papers The Studienstiftung expects: an exceptionally challenging and innovative scientific dissertation project that can be completed within a