19 mechanic-of-composite-material Postdoctoral positions at Technical University of Munich
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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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, or electrochemical CO2 reduction. To do so, the preparation of novel catalyst materials is of pressing concern. You will continue our research line around the preparation of novel catalysts based on mixed metal alloys
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07.08.2020, Wissenschaftliches Personal Founded in 2019, the new Chair of Materials Engineering of Additive Manufacturing at Technical University of Munich teaches and researches in the promising
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objective of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins as well as relevant mechanisms, which allow optimizing
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and interest in one of the following fields: • Solid state quantum information science. • Quantum optical properties solid-state systems (e.g. semiconductor quantum dots, colour centers in wice gap
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of Engineering and Design. You help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise student research. Your profile: If you are a postdoc, a very
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/ . By submitting your application, you confirm to have read and understood the data protection information provided by TUM. Find out more about us at www.tum.de. Application Materials Required: Submit
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electrochemical gas sensor (PEGS) based on fast Li-ion conductors. The fast ion-conduction characteristics of Li-based materials unlock the possibilities of cost-effective, low-power, multi-sensing arrays with a
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of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins. Thereby, relevant mechanisms are identified, which allow optimizing