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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is
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role and make a difference in future healthcare. At CBI, we strongly believe in scientific excellence and innovation. This is your opportunity to be part of and to advance your career at a world-leading
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(TUM). Starting date is 01.04.2026. The position is limited to 4 years. Topic: “Investigating the physiological, biochemical, and molecular responses of maize to con-current biotic and abiotic stresses
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skills, and the underlying brain signals of adolescents who stutter, adolescents with language development disorders and control subjects. The project is a collaboration between the University Hospital
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | 1 day ago
Heidelberg Teaching language English Languages Working language: English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Additional information
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Job Id: 11712 Fixed term of 3 years | Full-time with 100% | Salary according to TV-L E13 | Institute of Medical Informatics We are UKM. We have a clear social mission and, with our focus
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via our online system . Further information We offer up to 16 fully financed PhD positions. Excellent scientific and transferable skills training, competitive work contracts or tax-free fellowships, as
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degree with either the UTS Sydney or the University of Groningen. Teaching language English Languages Our primary language in the PhD programme is English. In addition to the mandatory English language
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision