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For the Department of Plankton and Microbial Ecology of the IGB at Lake Stechlin, we are looking for a PhD position (f/m/x) as of 1st of April 2026, for a project using biochemical and molecular
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sustainable bioeconomy. The four PhD projects are: Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position in statistical genetic approaches in fish
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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PhD Positions Country Germany Application Deadline 15 Dec 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not
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partnerships, extending and promoting collaboration with research establishments in science, commerce, and community in and around Göttingen, in Germany, and abroad Course organisation The PhD programme in
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students with similar research interests discuss theoretical texts and concepts. In addition, this PhD programme includes: Elective Options (18 ECTS credits): Elective options are meant to give students
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 1 month ago
at the AEI in Potsdam, and they will have to enrol and receive their PhD degree from either the University of Potsdam or the Humboldt University in Berlin. The expected duration of the PhD program is three
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). Requirements Please consider applying if you: Have obtained or will soon obtain a master degree in computer science or a related subject Want to pursue academic research at the highest level and obtain a PhD
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and scientific work by students Your profile: Successful degree (Master's, Diploma) in the field of computer science, software systems engineering, automation engineering, digital technologies