94 development "https:" "https:" "https:" positions at Technical University of Munich
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27.02.2026, Academic staff Cancer kills through metastasis, yet we still cannot reliably predict which patients will develop it or trace metastatic disease back to its origin. As part of the BMFTR
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EdTech Centre. Your Tasks Students increasingly learn with LLMs, but we don’t yet have the tools to tell when that collaboration is effective. This PhD develops computational approaches to characterise
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individual career development. More information about the group is available at https://www.ep.mgt.tum.de/en/gia/home. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV
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reproducible research practices. Your responsibilities Develop and implement computer vision and image processing algorithms for star tracking and satellite detec-tion using event cameras. Design and build a
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the area of strategy&global contexts. Our research addresses strategies, transformations, and firm success. We strive to provide insights critical to business practice and to further develop strategic
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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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, industry, and the public. We will collaboratively generate outcomes that help power the evolution of design in both scholarly research and practice. The institute will foster a vibrant and inclusive culture
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aims to change that by developing ways to measure and strengthen data agency so that learners can make real, informed choices about their data in learning environments. The doctoral researcher will
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to develop specific interventions into problems identified by research collaborators. The goal of the project is to amplify the voices and concerns of those most negatively impacted by AI. Requirements: A
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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