42 computer-science-intern-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD scholarships at Leibniz
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simulations Enhanced sampling Molecular Dynamics simulations Your Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid
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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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The German Primate Center (DPZ) - Leibniz Institute for Primate Research in Göttingen conducts basic research in primate biology, molecular biomedicine and neuroscience. It maintains four field
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. The project will finally lead to new strategic plans for global observations of the relevant species. Your Qualifications / Experience: A master's degree in physics, engineering, environmental sciences, or a
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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, environmental sciences, or a related discipline, is required. Basic knowledge and interest in atmospheric physics Skills in model & satellite data analysis is desired Fundamental programming skills and expertise
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a PhD Candidate / Software Developer for Aerospace Knowledge Base (m/f/d
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physics, engineering, environmental sciences, or a relateddiscipline, is required. Basic knowledge and initial experience with experimental working methods (e.g.spectroscopy, laser physics) Fundamental
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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collaboration with partners at the Robert Koch Institute (RKI) and other Leibniz institutes. It combines bacterial cultivation, molecular biology, and microbial genomics to better understand the transmission risk