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Field
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Degree Dr rer nat Course location Regensburg Teaching language German English Languages Participants can choose to write the PhD thesis in German or English. Programme duration 6 semesters Beginning
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In the Leibniz Institute of Plant Biochemistry, the research group Symbiosis Signalling invites applications for a PhD position in biology (m/f/d) (17/2025) (Salary group E13 TV-L, part-time 65
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)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or
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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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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 5 hours ago
on beginning, duration and mode of study PhD students can join the programme anytime. Application deadline We have two applications deadlines annually. You'll find the next application deadline on our website
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Only for doctoral programmes: any time Application deadline Application is possible at any time. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double
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the hydrogen industry Investigation of reaction mechanisms in the field of the hydrogen economy, particularly with regard to the charging and discharging of hydrogen carriers Cooperation with partners in
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semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Graduate School Global and Area Studies (GSGAS) at Leipzig University
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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