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. The project’s overarching goal is the development of digital quantum algorithms for the simulation of non-abelian lattice gauge theories. We are looking for highly motivated individuals, with the desire
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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made from magnetoelectric materials, which transduce wireless magnetic powering signals into local electric signals that can be used to stimulate neurons. Our multidisciplinary group works in materials
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us We are TUM’s unique Pathology AI lab developing new machine learning (ML) methods for automatically analyzing digital pathology data and related medical data. Such methods include the automatic
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reliability of R-Mode, particularly under varying environmental conditions. Key objectives include understanding the physical processes that affect R-Mode signal propagation, quantifying the variability
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The Leibniz Institute for the History and Culture of Eastern Europe (GWZO) conductscomparative research into historical and cultural developments and processes in the region between the Baltic Sea
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understanding of their molecular mechanisms remains incomplete. This project, funded by the LEO Foundation, aims to systematically characterize how skin cells respond to inflammatory signals. By integrating
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. Implement Advanced Characterization Techniques to evaluate material performance and device reliability, integrating electronic control systems including DC-DC voltage boosting and maximum power point tracking
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description of their research interests and plans, indicate how they would fit into the Tübingen HEP group, and arrange for two recommendation letters to be sent separately. Applications should be submitted in
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++, Rust, or similar languages. CUDA experience is a plus. Passion for interdisciplinary research in an innovative and collaborative environment. Application Process: Submit your CV, cover letter, and