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on studies of visual perception and decision-making. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we
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-year contract to advance computational models of the human knee based on MRI imaging and robot sensing and manipulation. The aim is to evaluate knee joint laxity pre- and post-operatively through model
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bar) while providing optical access, e.g. via a quartz/sapphire window, to the cell. Aside from standard current-voltage and EIS measurements, the setup should facilitate IR imaging and vibrational
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generative AI systems integrate into everyday practices. Society is transitioning from an information retrieval paradigm, where search engines provide specific sources relevant to specific queries
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interactions create value for society, following for example the "Building with Nature" paradigm or investigating sustainable sources of marine biomass for food. We do frontier applied science, meaning that we
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the intersection of AI and Physical User Interfaces to develop and prototype new AI embodiments that seamlessly integrate into collaborative work environments. Join us in redefining how AI supports and enhances
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Institute for Brain, Cognition and Behaviour. You will work on studies of visual perception and decision-making. Research methods include computational modelling, brain imaging (fMRI), machine learning
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; good programming and image analysis skills (e.g., Python) preferred; a team player with excellent communication skills. For this position your command of the English language is expected to be at C1
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. Knowledge and experience with microscopy, image processing and analysis. What we offer As PhD position part of ERC CoG project NEPHRONat Faculty of Health, Medicine and Life Sciences, you will be employed by
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scenarios. This PhD position focuses on performing towing tank experiments and high-fidelity flow field measurements using Particle Image Velocimetry (PIV) to validate CFD models. Beyond validation