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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific
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partners, we develop technologies and solutions for a sustainable, resilient, and digitalized future, strengthening Europe’s competitiveness and technological sovereignty. Our international teams combine
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development, education, organisational change, and community engagement, reflecting a longstanding belief that drama-based learning cultivates capabilities with value across a wide range of contexts. However
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other components. The PhD candidate will link TrainGate detections and early warnings with maintenance, incident, operational and cost data and develop quantitative methods to estimate effects
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, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will develop advanced research competencies alongside
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’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations that optimize
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disorder with debilitating effects on a patient's quality of life. Because current medications do not work well, we need to study its molecular cause to develop new therapeutics. Recent research identified a
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idea in more detail using novel genetic epidemiological techniques in large global biobanks. The student will train in 3 world leading centres and will gain skills in immunology, statistics and genetic
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on clinical complications, and use machine learning to develop and validate predictive models to identify high-risk patients. The research aims to individualise inpatient care, reduce hospital-acquired
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across development and aging. Using cutting-edge multi-omic and single-cell datasets generated by our team and international collaborators, this bioinformatics project will investigate how the X and Y