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environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities at Leipzig
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which are funded by the federal and state governments. The research institutes belong to the Leibniz Association. WIAS invites applications as PhD Student Position (f/m/d) (Ref. 25/11) in the Leibniz
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You will drive forward the application of oxyfuel combustion as an efficient measure for carbon capture. Together with the UMSICHT team and our project partners, you will create solutions for climate-positive and CO2-negative processes. What you will do Optimization of the pilot plant for the...
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and expertise are invaluable to us as we work to improve our website. To the survey PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 16 days ago
position is initially for three years, and PhD students will participate in the IMPRS program. Salaries will be paid at German civil service rates (TVöD-Bund, 65% of E13). The position is part of the eROSTEP
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=25578 PhD position (m/f/d) Multimodal approaches to understand and overcome niche-related adaptive
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an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and
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Description 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
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Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting October 1, 2025. The position entails 75% of the full-time
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical