38 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Radboud University in Netherlands
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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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training activities. Your teaching load may be up to 10% of your working time. You will also have opportunities to develop your teaching skills. Would you like to learn more about what it’s like to pursue a
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activities. Your teaching load may be up to 10% of your working time.You will also have opportunities to develop your teaching skills. Would you like to learn more about what it’s like to pursue a PhD at
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. You have familiarity with multivariate methods, network analysis or machine learning. You have interest in language, cognition, and individual variability in brain organisation. What we offer you We
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machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation on speech production in relation to individual connectivity profiles. Coordinate closely with clinical
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Liefvoort. For questions about this particular research project, please contact Cécile de Morrée. 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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, and Prof. Dr. Carolien van Ham. You will also have a limited teaching assignment of about 5%. At Radboud University, I can fully focus on expanding my expertise while learning from my peers and mentors
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Qualification (UTQ) portfolio. You can find a detailed project description in the attachment at the bottom of this vacancy. Would you like to learn more about what it’s like to pursue a PhD at Radboud University
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various training and development schemes. Where you will be working You will be based at the Behavioural Science Institute (BSI), where you will work within the framework of the Learning, Education
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Qualification portfolio. You will be part of the WECARE research team, led by Dr Sonja Marzi (PI). Your supervisors will be Dr Sonja Marzi, Dr Tine Davids and Dr Edwin de Jong. Would you like to learn more about