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Application deadline: 5 January 2026 Apply now Do you want to develop predictive models that integrate omics and environmental data, advancing the field of precision prevention? Join the Institute for Risk
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 10 days ago
. The position is part-time (TV-L 13, 65%) and initially limited to 3 years. Research project Advancements in structural biology and AI-guided protein structure design are providing new insights
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strong focus on the generation and evaluation of structured synthetic health data. You will also explore the application of large language models (LLMs) to healthcare data and terminology systems. Your key
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gardens and sponge fields, are biodiversity hotspots that deliver critical ecosystem services through their complex structures. However, they face increasing threats from fishing, resource extraction, and
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
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and macroscale structural dynamics. As a PhD candidate, you will focus on the identification and modeling of friction damping and energy dissipation in assembled structures. Your work will combine
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4 fully funded PhD student positions in the computational, mathematical & experimental plant science
. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling in various
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econometrics, machine learning, and GIS for predictive housing price modelling Addressing Edinburgh and South East Scotland's Construction Skills shortfall The full description of the projects is available here
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scenarios under aggressive conditions) on the porosity and microstructural evolution in additively manufactured metallic samples, by the development of advanced computational multiphysics models of stress