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University Medical Center Utrecht (UMC Utrecht); Published yesterday | Netherlands | about 3 hours ago
by the Fondation Paralysie Cérébrale—you will help develop a machine learning-based multimodal prediction tool for CP diagnosis and long-term outcomes. This tool will integrate advanced clinical
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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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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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-oriented solutions, and the advancement of knowledge. The first sub-project; a PhD track, focusses on the characteristics of transformative competencies to be achieved as learning outcomes, and pathways
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You work at the Wenckebach Institute for Education and Training (WIOO) of the UMCG, within the Lifelong Learning, Education and Assessment Research Network (LEARN). The UMCG is the largest employer
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academics to bridge theory and practice, enriching both the services we provide and the learning experience of our course participants. Because our staff are simultaneously involved in education, research
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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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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Bilingual infants have astonishing learning
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December 2025 Apply now Bilingual infants have astonishing learning capabilities that allow them to learn sound properties of two different languages in the first year of life. But how do they discover and
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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