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Researcher / Postdoctoral Researcher (m/f/d) Computer Science / Data Science The University Medical Center Schleswig-Holstein is one of the largest university hospitals in Europe with more than 80
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 9 days ago
Job Offer Max Planck Postdoc Positions on Artefacts for the Social Sciences The Max Planck Institute for Software Systems (Kaiserslautern and Saarbruecken), the Max Planck Institute for Security and
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department, Applied Cybersecurity, focuses cutting-edge problems in the foundations and applications of cryptography, including privacy‑enhancing technologies, secure and verifiable computation, and securing
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the Fellows4Fungi programme at the Leibniz-HKI (Jena, Germany). Fellows4Fungi - Exploring fungal pathogens within unexplored microbial networks is an international postdoctoral programme co-funded by the Marie
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postdoctoral fellows to conduct interdisciplinary research on the interactions between fungal pathogens and microbial ecosystems within the Fellows4Fungi programme at the Leibniz-HKI (Jena, Germany
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funded by the German federal government and 10 percent by the state of Berlin. A fully funded computational postdoctoral position is available in the Spatial Proteomics research group headed by Dr. Fabian
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years as part of a third-party funded project and to be filled with 80-100 % of the regular weekly working hours. Your Profile Master’s degree in Computer Science, Bioinformatics, Data Science, or a
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to PRIF's success. We are looking for a new colleague to join our team in Research Department I “International Security” as soon as possible: One researcher (postdoc) (m/f/d) in full-time, in Salary Group 13
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formal methods. The successful candidate will contribute to advancing data-driven modeling techniques that enable formal safety guarantees for complex dynamical systems such as autonomous vehicles
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 21 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience