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partners from academia, the financial sector, engineering consultancies and government. The central aim of FIRM is to estimate flood and water nuisance risk information as realistically as possible and to
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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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extract, harmonise, and analyse information from national and EU HTA reports, and identifying the conditions required to scale this across jurisdictions. Developing how GenAI can may link the methodological
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traits and structure regulate below-ground microclimate and microbial carbon cycling across spatial scales. You will combine controlled experiments, field observations, remote sensing data, ecosystem flux
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wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim is to obtain
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Data Science, Safety and Security research units, in collaboration with the Data Science Centre of Excellence of the Netherlands Defence Academy and the Netherlands Forensic Institute. The PhD researcher
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where knowledge is created and where it is ultimately translated into technological and economic value. The project combines large-scale longitudinal data on PhD recipients with complementary sources
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in auditory neuroscience, neuroimaging, and AI/NeuroAI. In this role you will bridge human neuroimaging and computational modelling . You will collect and analyse neuroimaging data (7 Tesla fMRI
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-world hospitality contexts. Examples include VR-based classes, immersive learning environments, AI applications, data-driven decision-making tools, and other innovative formats that prepare students for a
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information and affective processing, decision-making by patients and clinicians, approach-avoidance tendencies, cognitive control, emotion regulation, motivation, and executive functioning.