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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description Description As part of
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/job/freie-universitat-berlin-27779-phd-student-positions-in… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteFreie Universität
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RPTU University of Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 13 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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organisation During the course of the PhD, all students have to take part in an additional course programme, consisting of an Introductory Course and a set of up to seven Advanced Courses. The IMPRS Introductory
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semester Application deadline Our online application platform will open on 25 August 2025. The closing date for applications is 7 October 2025. More information about the timeline of the application process
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 13 hours ago
Degree Doctor of Philosophy (PhD) in Heritage Studies Course location Cottbus Teaching language English Languages All courses are taught in English. The dissertation is written in English, and the
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Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 1 Nov 2025 - 23:55 (Europe/Berlin) Type of Contract Temporary Job Status Part-time Is the job funded through the EU
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are expected to work on their PhD on a full-time basis. Thus, a job outside the lab is not possible. Accommodation As Freiburg is an attractive city, finding a suitable and affordable place to live can take a
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and machine learning to establish a modeling framework that uses omic data for providing effective degradation rates of biomolecules and predictions of their impact on soil organic matter turnover