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In the Leibniz Institute of Plant Biochemistry, the independent research group Receptor Biochemistry invites applications for a PhD position in (bio)chemistry (m/f/d) (Salary group E13 TV-L, part
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- 10:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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thesis can be written in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study PhD students can
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: Kassel Graduate Programme Development and management of projects funded by third parties (EMF) Preparing for good supervision: "It takes a village to raise a PhD" Funding and Scholarships Exposé
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Description The Graduate School Scholarship Program(GSSP) of the German Academic Exchange Service (DAAD) is offering two (2) doctoral scholarships to earn a PhD within the framework of “Ancient
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September. Online registration is required prior to application: https://mpimet.mpg.de/en/career/imprs-esm . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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-structured teaching programme and competent individual supervision as well as the opportunity to interact with a group of more than 100 other PhD students and post-docs in the same field of interest
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Pathogen Interactions PhD programme in Regenerative Sciences PhD programme in Auditory Sciences PhD programme in Epidemiology PhD programme in Biomedical Data Science Hannover Medical School © MHH Hannover
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 22 hours ago
conceived research proposals that align with IOER’s research. The programme aims to equip PhD candidates with the knowledge and skills necessary to successfully complete a doctoral dissertation, which may be
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the