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Field
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enthusiastic PhD researchers. Tasks and project: As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project will focus on quantifying
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-time / part-time full-time Mode of study Less than 50% online Programme duration 6 semesters Beginning Winter and summer semester Application deadline Announced on the website for the summer semester: 15
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positions will be part of a dynamic and collaborative team that conducts cutting-edge Data Science research and will provide opportunities to work with leading experts in the field of Responsible Data Science
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information in advance. As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in
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and is ex-pected to be extended to four years at least. Scientific Environment: The I&E Department and the TIM Group Founded in 2002, TUM School of Management is part of TUM, one of the leading
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Max Planck Institute for Plant Breeding Research • | Koln, Nordrhein Westfalen | Germany | 1 day ago
Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline There is one application call per year. Details on the timeline can be
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English or German, according to the candidate’s preference. Full-time / part-time full-time Mode of study 50 / 50 online and on-site Programme duration 6 semesters Beginning Winter semester Application
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on a part-time (65%) basis for an initial period of 1 year, with the option to prolong for another three years. Research project and work environment You will have the great opportunity to shape a
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essentially equal suitability, ability and professional performance. As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy
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machine learning technologies. This PhD position is part of the project “Artificial Intelligence for the automated creation of multi-scale digital twins of the built world”, which is funded via the Georg