10 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"UCL" PhD positions at Radboud University
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an interdisciplinary team. You will be expected to undertake a small amount of teaching, either in the Medieval History programme or in another programme depending on your background and interests. Would you like
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are welcome to apply. You have strong programming skills in Python and/or MATLAB and/or R. You have experience with EEG, MEG, or related neuroimaging methods, time-frequency analyses, or a strong interest in
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receive a 34% discount on the sports and cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop
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of the Department of Mathematics at Radboud University (Nijmegen, Netherlands), and join the research group of Laura Scarabosio, funded by the NWO Vidi programme ’Taming Frequency in Bayesian Inverse
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-CORE, supported by the Marie Skłodowska-Curie Actions (MSCA) programme, aims to explore strategies to develop stem cell therapies and biomaterials, laying the groundwork for future cures to restore
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-CORE, supported by the Marie Skłodowska-Curie Actions (MSCA) programme, aims to explore strategies to develop stem cell therapies and biomaterials, laying the groundwork for future cures to restore
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membership. In addition, you receive a 34% discount on the sports and cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and
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sports membership. In addition, you receive a 34% discount on the sports and cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty
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cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise your ambitions
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part