37 postdoctoral-composite-materials-simulation Postdoctoral positions at Technical University of Munich in Germany
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14.05.2025, Wissenschaftliches Personal We are looking for a postdoctoral fellow to join the Neuroengineering Materials (NEN) Lab at TUM. This project is funded by the ERC Starting Grant project
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and one Postdoctoral position in the field of robot motion and control algorithms for soft material handling, starting September 2025. We are seeking highly qualified and motivated individuals with a
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Postdoctoral Positions in Applied and Numerical Analysis Technical University of Munich (TUM) Chair of Applied and Numerical Analysis – Prof. Massimo Fornasier The Chair of Applied and Numerical Analysis
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these changes, identify their causes and describe their impacts on biodiversity and ecosystem services. To do this we use a combination of diverse methods, from empirical research to remote sensing and simulation
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Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt. ENGLISH: We invite applications for one Postdoctoral and one PhD position in the field of quantum simulation. The successful candidates
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) expect to appoint an experienced postdoctoral researcher in Fall 2025 (with flexible starting date). We are looking for an innovative experimentalist (m / w /d) with an established research track record
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03.07.2025, Wissenschaftliches Personal About us The Bienert Lab is part of the TUM School of Life Sciences of the Technical University of Munich located in Freising-Weihenstephan. The main objective of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the...
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teaching obligations. It offers the opportunity to pursue project-independent research in one of the group’s numerous research areas, with a focus on Applied Mathematics, Numerical Simulation, and various
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15.04.2025, Wissenschaftliches Personal The Institute of History and Ethics in Medicine (IHEM) is looking for a 100% postdoctoral research associate for a term of 4 years for the ERC-Starting Grant
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, methods, and algorithms into existing high-performance frameworks, the fast prototyping of new ideas in individual code, an interest in the entire simulation pipeline: starting from simple algorithms