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Field
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PhD candidate, you will contribute to both aspects, from studying the brain’s control of movement to applying these insights in the development of closed-loop brain–computer interfaces aimed
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in team work and collaborations with other PhD candidates, both in the group and internationally. You have a genuine multidisciplinary interest in the intersection of machine learning and neuroscience
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, materials science, or computer science with an interest in complex materials for computing and learning. Excellent candidates with training in any area of science or engineering will be considered. PhD
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results in this field in high-tech domains such as semiconductor machines, together with a highly innovative industrial partner in the Brainport region? Then, this PhD position is made for you! Information
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activities. Selection Criteria MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field; Solid background in machine learning, deep learning and foundation models such as Large
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like to learn more about what it is like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Does this sound like you? You hold a Master’s degree in neuroscience
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pathology applications, including the assessment of kidney biopsies. The innovative application of machine learning in clinical settings creates a vibrant and inspiring research environment. You will be part
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events and other (international) training opportunities. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Does this
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PhD projects (nrs 10 and 13) in the EU training network EXPLORA EXPLORA is a Marie Skłodowska-Curie doctoral network funded by the HORIZON 2020 framework. It will start on 1 February 2026, and within
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and research possible. PhD Opportunity: Engineering a Next Generation of Miniaturized In Vitro Models Our goal: Develop the next generation of miniaturized in vitro models to advance regenerative