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Field
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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
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ethnography, interviews and participant observation; analyse and interpret data, and triangulate findings with the results of quantitative project components; present results at conferences and co-publish them
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and Computer Science, Medicine, Philosophy, Physics and Astronomy, Law, and Management and Economics. Renowned for its strong scientific profile, the University of Würzburg is part of the U15 group
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can also be written in English. The RTG uses English as its main language. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application
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opportunities is part of our personnel policy. TUM encourages applications from qualified female candidates. Handicapped applicants will be given preference in the case of equal qualifications. Please note, that
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13 / part-time with 26 hours/week and is limited to three years. The expected starting date is October 1, 2025. In line with our commitment to diversity, we encourage qualified women to apply, as we
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a part-time position. Interested? Interested candidates please send their documents, including CV and documentation of their academic education to anna.kruspe@tum.de. Technical University of Munich
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for applying to be part of our lab, and why you think you are the right candidate to fill this position (max. 2 pages). b) Curriculum vitae incl. list of publications. c) copy of your diploma/degree certificates
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PDF file – including: a) Motivation letter: Describe the reason for applying to be part of our lab and why you think you are the right candidate to fill this position (max. 2 pages). b) Curriculum vitae
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properties. The position is part of the Bavarian 6G Future Lab, the pilot project of which is a collaboration of 13 research teams at TUM, targeting research into novel foundational mechanisms for future 6G