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healthcare. They collaborate with partners from all over the world to improve health outcomes for all. Radboudumc unites patient care, research, education, and corporate learning, which allows us to approach
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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stimulating, interdisciplinary environment. develop and validate machine learning models to extract digital biomarkers for atypical parkinsonism from real-world wearable sensor data. interpret findings in close
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Are you highly motivated to do PhD research in mathematical machine learning, with special emphasis on mathematical foundations for explainable AI? If yes, the Korteweg-de Vries Institute
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teams and willingness to learn from others. Takes initiative, manages time effectively, and meets deadlines. Creative and critical problem-solving approach to research and technical challenges. Proactive
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, education, and corporate learning, which allows us to approach our mission to shape the health and healthcare of the future in an innovative and person-centered way. Our ambition is to lead the way in
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project FoRECAST, you’ll work independently and in a collaborative, diverse team. This is a unique opportunity to contribute to the technological foundations for tomorrow’s machine learning. Your job In the
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individualized diagnosis and prognosis. As part of the ENSEMBLE Project—a multinational study funded by the Fondation Paralysie Cérébrale—you will help develop a machine learning-based multimodal prediction tool
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future research having a basis in the Netherlands, with an international perspective Proficiency in English and (a willingness to learn) Dutch Scientists at the NIOO have no obligation to teach
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)proteomics), as well as bio-imaging and data analysis using bioinformatics tools. You have a creative mind and look forward to learning and expanding your skills. Finally, you are a team player and a pleasant