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join us as a PhD candidate. You will work in a highly interdisciplinary group, at the intersection of physics, machine learning and theoretical neuroscience. Our group is focused on investigating
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recent advances in machine learning and browser automation, the project aims to provide tools, techniques and datasets to effectively address these threats. As a PhD candidate, you will play a key role in
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. 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 . I quickly found my rhythm at Radboud University because
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or computational neuroscience/machine learning. You possess solid programming and software engineering skills. You have excellent written and spoken English skills. You are a proactive team player, who enjoys
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the way towards a better understanding of possibilities for novel low‐power microelectronic applications. Your teaching load may be up to 10% of your working time. Would you like to learn more about what
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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 . I quickly found my rhythm at Radboud University because of the great support
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-ACCENT project aims to fill this gap by combining insights from cognitive psychology, neuroscience, AI engineering, human-computer interaction and social science, with lifespan perspectives. Using advanced
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molecular targets. Your teaching load may be up to 10% of your working time. 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
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years and will lead to a PhD degree from Radboud University upon successful completion. 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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position is funded for four years and will lead to a PhD degree from Radboud University upon successful completion. Would you like to learn more about what it’s like to pursue a PhD at Radboud University