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urban environments Supervisor: Prof. Dr. Hartmut Fricke, Chair of Air Transport Technology and Logistics and co-supervised by Prof. Dr. Christoph Keßler plus an international tutor of the RTG Description
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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on software for safety-critical functions like life support, monitoring, and decision-making. They must comply with strict regulations (e.g., IEC 62304, ISO14971) that require trial-based safety assessments
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science, mathematics, engineering, or natural sciences. Applicants must also have proven software engineering skills as well as experience with web technologies and data visualization. Excellent language skills in
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Röblitz), to analyse pathophysiological models developed there Institute of Biomedical Engineering, University of Ulm, Germany (under the co-supervision of Prof. Walter Karlen), to develop interfaces
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, University of Bergen, Norway (under the co-supervision of Prof. Susanna Röblitz), to analyse pathophysiological models developed there Institute of Biomedical Engineering, University of Ulm, Germany (under
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, Algorithms, Data Science & Artificial Intelligence, and Software Systems. The atmosphere is collegial and informal. In the AI Technology for Life group , we focus on explainable AI. We work with many different
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Contact Prof. Holger Boche Technical University of Munich School of Computation, Information and Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https
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: Fail safe, Distributed Digital Twin for Innovative Air Mobility (IAM) Operations Supervisor: Prof. Dr. Uwe Assmann, Chair of Software Technology and co-supervised by at least one
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% STFC:25% UoW split), gaining experience in algorithm development, experimental validation, software engineering, and scientific communication. Training opportunities include international workshops