45 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Technical University of Munich
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lively intellectual community of 80+ researchers from numerous disciplines and fields of specialization. As a department, we deliver 2 Master’s programs and design STS content for the School’s PhD program
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: https://www.pisa.tum.de/pisa/jobs/ Für eine der PISA Hauptdomänen (Lesen, Mathematik, Naturwissenschaften) nach Wahl wird zum nächstmöglichen Zeitpunkt ein*e Postdoc gesucht. Nähere Informationen zur
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is expected. Background Information: Nat. Chem. 2015, 7, 105; Chem. Eur. J. 2019, 25, 4590; Angew. Chem. Int. Ed. 2019, 58, 418; Nanoscale 2021, 13, 19884. www.sengegroup.eu https://www.ias.tum.de
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stimulating work environment that promotes individual creativity and effective teamwork with a clear focus on quality output. More in-formation about the group is available at http://pur.wzw.tum.de
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or robots as well as (maybe) on board of a satellite. Good knowledge of programming (C++ and Python) and interest in modern didactics (4CID model) is required. The second position is located in the area of
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Bewerbung, abrufbar unter https://portal.mytum.de/kompass/datenschutz/Bewerbung/. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent
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) on the collection and processing of personal data in connection with your application http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information
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to the research and development of dexterous end effectors for a new 6G-based teleoperated surgical robotics system. This position stems out of the large scale 6G-Life project (https://6g-life.de/) and will give
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for clinical optoacoustic imaging. Contribute to internationally visible research programs funded by the European Union and the German Government. Collaborate closely with clinical partners and an innovative
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), with the autonomy to shape a high-visibility research program. HOW TO APPLY Please submit a single PDF containing: a cover letter stating your motivation, research vision, and prior experience in VR