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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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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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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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23.01.2026, Academic staff The Chair of Theoretical Information Technology is seeking a highly motivated research associate (m/f/d) for our research project focused on developing secure
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bio-medical applications. A central feature of NEO is an embedded ethics approach, integrating ethical research directly into ongoing laboratory and clinical development processes. Your tasks
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22.01.2026, Academic staff This PhD position focuses on developing resilient ISAC architectures. This project aims to implement, test, and demonstrate resilience strategies that enhance ISAC system
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23.01.2026, Academic staff The Chair of Structural Analysis is seeking a highly motivated research associate (m/f/d) for our research project focused on developing methodologies for high fidelity
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systems biology approach and with a focus on wood as substrate. The candidate will collaborate closely with CRC project partners across Germany to develop and apply multi-omics approaches and to investigate
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application partner. The candidate will develop physical and chemical deoxygenation concepts for two given applications, measure and model physico-chemical properties, conceptually design, optimize, and test
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are used to describe LPC in different sectors. There is a strong need to advance our understanding of the LPC process and develop reliable physics-informed tools to predict and reverse engineering the LPC