213 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" PhD positions in Netherlands
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now Do you want to shrink the gap between artificial and biological intelligence? In this research assistantship you will work on the development of state-of-the-art machine learning approaches
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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute
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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
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mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we
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Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and
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of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With
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of the Humanities and Social Sciences. Our ambitious Dutch and international students are educated in a stimulating learning environment. Upon graduation, they have acquired the knowledge, insight and skills to make
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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
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relevance for business and society. Candidates preferably have proven expertise and interest in qualitative, statistical, experimental and/or computational skills, and should be eager to learn new
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to stay or move London School of Economics, London, UK Beth Lloyd (Leiden University) Causal contributions of (zero) prediction-error signals to learning and decision-making using transcranial ultrasound