47 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" PhD positions at Leibniz in Germany
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funded by the Leibniz Collaborative Excellence program and conducted in cooperation with the Institute of Space Systems at the University of Stuttgart. The position includes setting up a multi-metal lidar
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Policies”, led by Prof. Dr. Jan Steckel who is also Professor at TU Munich’s School of Social Sciences and Technology. The position is embedded in the research project “EVIDENCE – Evidence based research
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Germany. It maintains close cooperative relations with various partners in Germany and abroad. We offer a structured doctoral training program, manifold activities, exciting research topics, a highly
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QCLs) for high-resolution spectroscopy. Within the framework of the priority program INtegrated TERahErtz sySTems Enabling Novel Functionality (INTEREST) funded by the German Research Foundation (DFG
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In the Leibniz Institute of Plant Biochemistry, Dr. Tom Schreiber invites applications for a PhD-position in a three-year DFG-funded project: PhD position in biology (m/f/d) (Salary group E13 TV-L
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WHO Collaborating Centre and member of the Leibniz Research Association. The Molecular Parasitology group of Dr. Joachim Michael Matz at the Bernhard Nocht Institute for Tropical Medicine in Hamburg is
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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IX). Contact and Application For any questions on this job opportunity, please contact: Prof. Dr. Katharina Scherf, k.scherf.leibniz-lsb(at)tum.de , Dr. Melanie Köhler, m.koehler.leibniz-lsb(at)tum.de
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the programme area ‘Plant Adaptation’ (ADAPT). The aim of the research project is to understand how intrinsically disordered regions (IDRs) and prion-like domains (PLDs) control the temperature responsiveness
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, statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward