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Field
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engineering, environmental engineering, applied mathematics, and computational science. Access to state-of-the-art computational infrastructure and high-performance computing resources. Opportunities
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context Ensure reproducibility, data management, and documentation of computational workflows in high-performance computing environments Collaborate closely with experts in computational biology across
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Python, PyTorch) with solid experience in scientific computing, reproducible software development, and modern software engineering practices; familiarity with C++, Linux, and high-performance computing is
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beliefs regarding climate change across regions in Europe. Starting date for the position is November 2026 (or on later agreement). Tasks Conduct high-quality, independent research related to social
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The newly established Chair of Data-Driven Simulation and Analysis in Materials Science (Prof. Dr. Roland Aydin) at Saarland University, jointly affiliated with the German Research Center for Artificial
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simulation, fabrication, systematic characterization, high fidelity operation as well as integration and scaling technologies. Our ultimate vision is a fully integrated semiconductor processor with integrated
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 2 months ago
, you will collaborate with outstanding scientists in an open, supportive, intellectually stimulating, and high-performance environment. Research Infrastructure: You will have access to state-of-the-art
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Offer Description The German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) is a member of the Leibniz Association. The institute’s mission is to conduct experimental and clinical research in
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establish and drive the experimental and computational framework of the project, with a primary focus on generating high-quality single-cell and spatial omics datasets. You will independently perform and
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University of Munich is required. Salary and benefits are in accordance with the German public sector scale, TV-L E13. - Your Profile 1. Strong mathematical background (e.g., linear algebra, optimization