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Wynants, working with clinicians, statisticians, epidemiologists, health economists and data scientists. Clinical prediction models and Artificial intelligence (AI) can support diagnosis and prognosis, and
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understanding of how artificial intelligence can foster sustainable development, for instance in the domains of education, farming, saving/investing, entrepreneurship and health, with a lot of scope for your own
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://www.academictransfer.com/en/jobs/359394/phd-in-multi-modal-ai-for-uav-b… Requirements Specific Requirements A master’s degree in Electrical Engineering, Computer Science, Artificial Intelligence or in a strongly related
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and cells and clinical data of thousands of patients to creating in-vitro 3D models and using artificial intelligence for imaging.s pelvic floor complaints (prolapse and full ruptures) and to optimise
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logic, philosophy, linguistics, musicology, mathematics, computer science, artificial intelligence and cognitive science. You will be part of the GOOD INTENSIONS research team. Work within the GOOD
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fundamental knowledge and to look beyond the borders of their own discipline. The research carried out at the Faculty of Science is diverse, ranging from artificial intelligence, computer science, mathematics
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curiosity to expand fundamental knowledge and to look beyond the borders of their own discipline. The research carried out at the Faculty of Science is diverse, ranging from artificial intelligence
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hold an MSc in Earth science, environmental science, data science, physics, mathematics or computer science, with practical machine learning/artificial intelligence courses and relevant project and
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of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and
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Artificial Intelligence (GenAI) in education? Are you fascinated by how secondary school students self-regulate their learning and develop reading comprehension skills? Are you eager to combine learning