539 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" PhD positions in Germany
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Degree or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteUniversity of Applied Sciences St. PöltenCountryAustriaCitySt. PöltenGeofield Contact Website http
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information on diversity and equal opportunities: https://go.fzj.de/equality and and on the targeted promotion of women: https://go.fzj.de/womens-job-journey
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% of a monthly salary as special payment („Christmas bonus“). The monthly salaries in euro can be found on the BMI website: https://go.fzj.de/bmi.tvoed.entgelt Further information on doctoral degrees
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English. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No deadlines For details, see: https
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of Munich. https://www.lmu.de/en/about-lmu/working-at-lmu/additional-services/lmu-gateway/new-international-doctoral-candidates/phase-1-preparing-your-move-to-munich/index.html Some more helpful information
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | 3 days ago
information on accommodation in Oldenburg see also: https://uol.de/en/international-researchers-and-staff/living-in-oldenburg/finding-accommodation . For Hannover, please visit: https://www.mhh.de/hbrs/hbrs
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provide further information on diversity and equal opportunities: https://go.fzj.de/equality and and on the targeted promotion of women: https://go.fzj.de/womens-job-journey
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for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs The project has a duration until June 2029 and therefore the position is initially limited until 30.06.2029. Further information
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out within the DFG Priority Programme “DaMic - Data-driven Alloy and Microstructure Design of Sustainable Structural Metals” (SPP 2489), in close collaboration with a research partner responsible for
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opportunity to be part of the BaySensAI project (https://go.ur.de/baysenseai ) and develop an AI-based prediction and monitoring system for biodiversity data as part of the Bavarian research network bayklif2