17 computational-complexity-"Prof"-"Prof" Postdoctoral research jobs at Technical University of Munich in Germany
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02.07.2025, Wissenschaftliches Personal The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc (f/m/d) in Energy Informatics. You are
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Do a PostDoc in Pathology AI! 11.10.2023, Wissenschaftliches Personal The Computational Pathology Lab at the Technical University of Munich (TUM), TUM School of Computation, Information and
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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the study of the impact of digital and computational pathology on clinical workflows and patient care. Our lab is located in the heart of Munich at the TUM Klinikum rechts der Isar (MRI), Institute
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of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
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to contribute to groundbreaking work in our research area. About the Program: We are implementing a program that creates an additional two year postdoctoral position exclusively for female researchers working in
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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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26.02.2025, Wissenschaftliches Personal We are looking for a postdoctoral researcher (f/m/d) with a PhD in Simulation Technology, Computer Science, Mechanical Engineering, or a related field. About
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integration of vehicles into mobility and energy systems. We improve the efficiency, sustainability and economics of electric vehicles by optimizing and accelerating the integration of components up to complex
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–biodiversity relationships are linked to acoustic comfort–restoration outcomes. The models will integrate spatially-explicit structural complexity variables, landscape imperviousness variables, biodiversity