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spoken English is required (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ); German language skills are advantageous According to the mobility regulations of Marie
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1Zipcode80539CityMünchen Contact details E-Mail: recruiting_cens at physik.uni-muenchen.de Web: https://www.cens.de Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful
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Description The European Doctoral Network "A Coherent Analysis Framework for Emergence in Biological Systems" (CAFE-BIO) is looking to recruit 15 excellent Doctoral Candidates (DCs) at 12 leading
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. For more information, please visit: https://www.lsm.bio.lmu.de/apply/index.html Accommodation The International Office helps visiting academics, PhD students, and postdocs who are travelling to Munich
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications are possible throughout the year. For more information, please see: https
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collective agreement can be found on the BMI website: https://go.fzj.de/bmi.tvoed . The monthly salaries in euros can be found on page 69 and following of the PDF download FIXED-TERM: The position is
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Association is Germany's largest scientific organisation. Where to apply E-mail bewerbungen@gfz-potsdam.de Website https://gfz.concludis.de/prj/shw/2190834cf569ffab46854f84b2124104_0/11161/Wisse… Requirements
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reliability through systematic validation methods. CAVECORE combines cutting-edge research in AI-enabled robotics with novel evaluation frameworks aligned with EU AI Act requirements. More information: https
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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 11 hours ago
communication tailored to their needs. For further information, see: https://www.physik.uni-kl.de/oscar/ Course organisation During the research work, the PhD student has the possibility to participate in
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) at the Department of Geosciences starting as soon as possible. The preferred candidate should have carried out research in statistical modelling of human fossil, molecular, cultural and / or environmental data