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Description Do you wish to join the new Marie Sklodowska-Curie Action Doctoral Network PREFERENCE and help us make a transformative difference in the field of molecular imaging? Then, apply to join the
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-agent" that integrates multimodal health data, including MRI examinations, PSMA PET/CT imaging, histopathology results, and longitudinal electronic health records, to support clinical decision-making in
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an experimental aerodynamics team has concentrated on the development of advanced non-intrusive measurement techniques such as Particle Image Velocimetry, InfraRed Thermography and Background Oriented Schlieren
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machine learning. You will develop and evaluate AI-driven visual speech recognition models and contribute to their integration into a smart-glasses prototype. The system aims to convert non-vocalized lip
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team investigating densely-laden pipe flows. In the project, you will use Magnetic Resonance Imaging and Velocimetry to provide insight into the velocity and concentration profiles. This technique
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PhD in Optical Characterization and Photonic Performance Analysis of Liquid Crystal Polymer Coatings
between material development, optical modelling, and prototype integration. Information You will: characterize one-way transparent cholesteric liquid crystal polymer films and switchable photonic coatings
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circulating narratives that combine language, images, personal stories, and emotional appeals. Such narratives can shape how migration is understood, intensify political divisions, and mobilise civic action
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imaging. The department provides access to modern experimental facilities, including multiple eye-tracking and combined EEG and eye-tracking laboratories. The project also benefits from access
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such changes contribute to long-term treatment success. A collaborating postdoc will perform advanced MRI brain imaging in a subset of participants to investigate changes in the olfactory bulb and connected
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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data