10 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"PDI-Service"-"https:" "P" PhD positions at Radboud University in Netherlands
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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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based on a 38-hour working week, which will increase to €3,881 in the fourth year (salary scale P ). You will receive an 8% holiday allowance and an 8,3% end-of-year bonus. There may be an opportunity
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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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to €3,881 in the fourth year (salary scale P ). You will receive an 8% holiday allowance and an 8,3% end-of-year bonus. There may be an opportunity for Dual Career Coaching . The Dual Career Coaching assists
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per month based on a 38-hour working week, which will increase to €3,881 in the fourth year (salary scale P ). You will receive an 8% holiday allowance and an 8,3% end-of-year bonus. There may be
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working week, which will increase to €3,881 in the fourth year (salary scale P ). You will receive an 8% holiday allowance and an 8,3% end-of-year bonus. There may be an opportunity for Dual Career Coaching
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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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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