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or neural networks) on CFD data to develop a fast, data-driven wind field predictor. You will combine this surrogate model with AeoLiS and evaluate the accuracy of the new model setup by applying it to
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capabilities interact with operational conditions, human intervention and the wider maritime and port logistics systems. The postdoctoral researcher will develop data-driven and model-based approaches to support
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deadline: 16 October 2026 Apply now Do you want to develop a foundation model for one of biology’s most complex ecosystems? By joining the European Innovation Council (EIC) Pathfinder project NOAH, you will
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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forming fundamental challenges. Physics-based models are too complex, while pure data driven models lack explainability, ultimately reducing the robustness. The proposed solution is the development of a
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; collaborating with municipalities, urban planners, designers, and residents in model co-creation and validation workshops; contributing to the development of an interactive, publicly accessible web interface (e.g
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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR
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Challenge | Overheating in existing dwellings due to increasing hot weather Change | Affordable, acceptable, effective nature driven facades Impact | Improved health and lower cooling energy demand
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Are you interested in the empirical foundations of flood damage modelling and keen to translate that knowledge into practical strategies for insurers to reduce losses through early warning and