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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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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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, 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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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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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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they interact and connect with each other. The doctoral researcher will develop computational indicators that capture these patterns from digital communication data, model how learning relationships form and
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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
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predict food-effector systems. Key Responsibilities • Develop graph-based (multi-)omics analysis algorithms • Benchmark graph-theoretic against graph-ML approaches • Analysis of food-related (multi-)omics