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representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
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holders, setting requirements on data quality and measurement conditions. Together with cardiologists, supervisors and colleague PhD students, you will further perform human testing of several prototype
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rehabilitation center, and will be embedded in the Vision and Imaging Data Analytics group at the Department of Intelligent Systems and Centre for Cognitive Science and Artificial Intelligence at Tilburg
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Comprehensive Approach to Justification, Optimisation, and Education”), a European Union-funded research project aimed at improving the quality and radiation safety of medical imaging in children, adolescents
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images based on pseudo-haptics. The goals are to understand the interaction between exploration movement, multisensorial cues, and material properties and to enhance material experience and object handling
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how intrinsic plasticity contributes to memory encoding and alters cognitive processes. In this project, we will leverage the advanced voltage imaging in larval zebrafish to investigate how intrinsic
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understand the EUV-emitting plasma through radiation-hydrodynamics simulations Large amount of (image) data and a wide range of existing data analysis tools, allowing you to apply and develop your data
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models. by combining cutting-edge data science with advanced clinical expertise and imaging technologies. Your colleagues: A dynamic, interdisciplinary team of intensivists, clinical technologists, PhD
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., gravity field, magnetic field, seismic measurements). These measurements are often sensitive to various interior properties and when taken separately provide only a partial picture of the interior. Still
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rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and