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, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement
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research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.” For section 2.5 Geodynamic Modeling (department “Geophysics”), we are looking
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position – Swimming in Complex Environments The Institute for Advanced Simulation - Theoretical Physics of Living Matter (IAS-2
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of individual swimmers and the complexity of the associated hydrodynamic flows gives rise to a wide range of collective behaviors that remain poorly understood. Addressing this complexity requires the development
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interpretable models of molecular disease mechanisms, with a focus on identifying proteins and pathways involved in cardiovascular disease. PhD project: Causal multi-omics modeling of disease biology We
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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
increasing complexity: first, predictive models for the thermodynamics of phase separation will be developed. The thermodynamic insights will then be used as the basis for kinetic models, particularly
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, Foundation Models & Medical AI Location Munich, Germany For our AI-Assisted Healthcare Lab at TUM School of Medicine and Health, we are seeking an outstanding PhD student (f/m/d) to advance the theoretical and
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-generation multimodal foundation models for digital patient twins in oncology and cardiovascular medicine. The position is part of the EU Horizon Europe project TWIN-X, Digital Twins with Generative AI
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-based AI for multidisciplinary tumor boards. The successful candidate will develop LLM-based pipelines, semantic harmonization, and transformer-based temporal models on a large multimodal oncology dataset