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areas: + Quantum computing and quantum algorithms + Solid-state physics, computational materials science, or quantum chemistry + Battery materials modeling Excellent programming skills (e.g., Python) and
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performance. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling
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BiCMOS technologies. What you will do As a trainee in our Analog IC Design program, you will participate in a comprehensive introduction to Analog IC Design and RFIC Design, collaborating on real projects
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date 2 Postdoc Positions in Pancreatic Cancer Immunology and Computational Biology Reference number: 2025-0274 The Saur Lab is deploying advanced in vitro and in vivo model systems, genetic perturbations
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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computational scheme which allows efficient and accurate computer simulations of biofabrication. Using this novel tool in collaboration with our experimental colleagues we will thrive to understand the physical
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Description Where: At the Chair for Computational and Theoretical Biology ( CCTB ) and the Center for Artificial Intelligence and Data Science ( CAIDAS ) of the University of Würzburg. Project
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algorithms to compute similarity between interaction interfaces across millions of comparisons. This hinders identification of novel modes of protein binding, i.e. those predicted by AlphaFold, and it hinders
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of Materials Systems Modeling of the Helmholtz-Zentrum Hereon is offering a 3-year Postdoc position, starting on 1st February 2026. In project Computational modeling of Blue Materials from the atomic scale
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American Studies, North American Studies, Food Chemistry, Chemistry, Computer Science, Physics