213 developer-"https:" "https:" "https:" "UCL" positions at Technical University of Munich
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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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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: adrian.doerfler@tum.de More Information http://www.mos.ed.tum.de/nma
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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
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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
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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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