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Fatigue is universal, yet its individual dynamics remain poorly understood. Radboud University seeks a PhD candidate eager to explore this scientific challenge. Your primary responsibilities will be to co
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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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has a strong record of publishing in these and other top journals in related fields, including Management, Psychology, Neuroscience, and Economics. The final results of the PhD project are published in
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, research seminars, applied and theoretical research with faculty, and seminars on key disciplines that provide the foundations of the marketing discipline (statistics, economics, psychology), the PhD student
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(PhD Day, research seminars, weekly research meetings). Teaching students (to a limited degree). Through workshops, research seminars, applied and theoretical research with faculty, and seminars on key
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Derive a novel theoretical framework based on control