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Field
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Coupling of Hybrid Science-Guided and AI Models; xShare – 101136734 – Expanding the European EHRxF to share and effectively use health data within the EHDS; DS4Health – 101083563 - Specialised education
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Coupling of Hybrid Science-Guided and AI Models; xShare – 101136734 – Expanding the European EHRxF to share and effectively use health data within the EHDS; DS4Health – 101083563 - Specialised education
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household and firm surveys (carried out by another team member) and other spatial and physical climate risk data. The goal of this agent-based modeling is to identify conditions under which risk contagion
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surgical robots across various surgical applications, using techniques such as advanced sensing, AI-based and reinforcement learning (RL)-based control, and soft continuum robot simulation. The starting date
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natural conditions in the laboratory. Marine phytoplankton, which act as the base of the marine food web and contribute to major global biogeochemical cycles, will be used as a model to understand
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environmental modeling to understand how changing redox conditions (such as hypoxia and re-oxygenation) influence the behavior of actinides like plutonium (Pu) and americium (Am) in sediment and seawater. You
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fuel structure, processing of different remote sensing and mapped data, statistical modelling, mapping of fire risk and analyzing the effect of forest management for fire behavior. Considered remote
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manufacturing machines (looms, bobbinfeeders, ...) under dynamic conditions. Such simulations are very challenging due to the use of diverse materials (natural and synthetic fibers, yarns and fabrics) which
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loading conditions. By generating datasets from finite element simulations, ML models can learn the mapping between unit cell design parameters and homogenised properties. State-of-the-art approaches
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and reinforcement learning (RL)-based control, and soft continuum robot simulation. The starting date is expected to be February 15, 2025, or as soon as possible thereafter and will be agreed with