69 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM"-"L2CM" positions at Technical University of Munich in Germany
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Technical University of Munich School of Computation, Information and Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche
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Objectives Development of sensitivity framework for coupled sensitivity analysis. Extend the developed framework to support FSI problems, and identify suitable sensitivity computation methods. Identify
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02.12.2025, Wissenschaftliches Personal As of now, we are looking to extend our team with a full-time Postdoc Position: Kinetic Mechanism Development of Low-GWP Fluorinated Refrigerants (m/f/d), TV
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. This will largely advance our still limited knowledge on the intricate mechanisms of CHC perception in particular and on speciation mechanisms mediated by chemosensory evolution in general. The successful
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Scientist/Steward or Software Developer (f/m/d) to facilitate the development of ProteomicsDB with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass
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is on energy modeling, data-driven planning approaches, and the development of innovative data infrastructures for national and municipal energy planning. Candidates should have experience in energy
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toward translational cardiac gene therapy. Our Approach Our research focuses on the development and optimization of AAV-based gene therapy and genome editing platforms for cardiac applications. We combine
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the cluster to engineer proteins for a broad range of biological and biomedical applications. The position combines scientific leadership, technology development, and facility management. Your Responsibilities
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of teleoperation, work organization, and simulator development for automated vehicle fleets in public transportation. About Us The Chair of Ergonomics, headed by Prof. Dr. Klaus Bengler, conducts research and
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modeling with experimental validation and has two major objectives: Development of a physics-informed neural network (PINN) framework You will design and implement a simulation framework to model