47 computer-programmer-"https:"-"FEMTO-ST" "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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as a PhD student in TUM’s graduate programme. Key responsibilities: Co-designing research methodology/approaches to study the political economy of climate mitigation policies in low- and middle-income
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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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computational approaches Beyond technical training, you will join a dynamic, collaborative and international team and receive structured support through our PhD training program. Your Profile: Master’s degree
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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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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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. Your task: The applicant will be part of a research project in the Department of Immunology (Dr. Bloemendaal) investigating the role of the gut microbiota in the gut-immune-brain-axis, specifically
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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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, 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