34 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Radboud University
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eager to conduct research on cosmology and what this could teach us about quantum gravity? This is the opportunity for you! As a PhD candidate you will conduct fundamental research on the overlap
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. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we sense, think and do is uncertain. For instance
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beyond Myelin Water Fraction (MWF), incorporating QSM and new data related to tissue vascularisation and metabolic oxygen rates (CMRO2). Would you like to learn more about what it’s like to pursue a PhD at
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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 . Profile You hold an MSc or equivalent degree in computer
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Website https://www.academictransfer.com/en/jobs/350213/phd-position-sustainability-of-… Requirements Specific Requirements You hold a Master's degree in Computing Science or Information Science (or a
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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 . Profile You are communicative, curious, critical, enthusiastic, proactive, and
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to conduct this applied research. Would you 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 . Profile You have a Master's degree
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the short summary of the project below the vacancy text. 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 . Where to
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about working as a PhD candidate . Profile You have strong coding and machine learning skills. You are interested in societal applications of AI, especially in education. You have a good understanding of
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specifically the Arts and Culture Expertise Unit at Radboud University in Nijmegen is looking for two highly motivated and talented PhD candidates to join the interdisciplinary research project ’Tuning