208 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Technical University of Munich in Germany
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04.03.2026, Academic staff The Professorship for Learning Analytics (LEAPS) at the TUM School of Social Sciences and Technology, Technical University of Munich, is seeking a Research Associate
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04.03.2026, Academic staff The Professorship for Learning Analytics (LEAPS) at the TUM School of Social Sciences and Technology, Technical University of Munich, is seeking a Research Associate
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the TUM School of Management (https://www.mgt.tum.de/de/faculty-research/doctoral-program) Requirements Master's degree in economics or a related discipline with very good results Solid knowledge
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of History and Ethics in Medicine, we advance ethical practice and theory in medicine, biomedical technology, and public health, driven by the belief that embedding ethics is essential for shaping the future
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protein engineering to develop agents based on our research into their photophysical properties and structure-function relationship. Finally, we are driving the development of specialized screening
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely involved in the Schmidt Sciences project MountAInWater, coordinated by the Institute for Science and Technology
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organoid technology. About the Project Our team (westmeyerlab.org ) at the Munich School of Bioengineering (TUM) and Helmholtz Munich develops novel synthetic biology tools for longitudinal cellular
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application (motivation letter, CV, certificates, references, and publications) by 13 April 2026 to the following form: https://wkf.ms/4beNUNa Equal opportunity: The Technical University of Munich seeks
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Responsibilities • Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data • Multi-omics integration using graph-structured prior knowledge • Analyze food-related (multi-)omics