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Liefvoort. For questions about this particular research project, please contact Cécile de Morrée. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about
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groups within DPG-UU. The candidate will develop and be involved in funding applications from national and European science agencies, and will be uniquely positioned to teach in courses on Earth Sciences
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knowledge of and/or experience with validation of prediction models (regression or supervised machine learning), health technology assessment, decision curve analysis, and/or value-of-information analysis
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to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply Website https://www.academictransfer.com/en/jobs/360007/phd-position
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Description Job description The dot on the horizon is a hybrid intelligent system in which AI tools support and learn from people interacting to make sense of something. What that something is can be anything
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chip quality and reliability while optimizing overall test costs. The platform enables faster and more accurate diagnosis and yield learning, reduces in-field failures in various critical applications
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bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal Transformations, Resilience, Smart Industry
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inequalities among students. Expertise and/or clear potential for conducting research and publishing in the social sciences. Ability to teach in English. Preferred Qualifications: Research focus on “majority
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” conversations about inequalities among students Expertise in conducting research and publishing in the social sciences Ability to teach in English. Preferred Qualifications: Research focus on “majority world
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dynamics to longer-term fluctuations driven by biological factors and learning. (3) Design and coordinate a large-scale data collection using a measurement-burst EMA approach to test the models and address