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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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. Project 2. Project title: Motor learning as a window into neurodegeneration: an interdisciplinary approach Supervisors Dr Defne Abur (YAG, Faculty of Arts, Assistant Professor of Speech and Speech
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learn in situations that are beyond their current capabilities. The ideal candidate has interests in quantitative methods and has a strong motivation for doing health technology assessment/health economic
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collection and sharing, education, and practical applications in agriculture and plant breeding. Learn more about CropXR at here . This vacancy is for two PhD positions that are part of the Translator work
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to discuss findings in a peer-learning infrastructure The project is embedded in the Team Policy, Politics and Society of the Department of Public Administration and Sociology at the Erasmus School of Social
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on the situational assessment of street-level workers by vignette studies 4) SP4 includes Local and Transnational Labs in which participants will be brought together to discuss findings in a peer-learning
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
and 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
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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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for this position will have the following qualifications/qualities An MSc degree in chemistry or a related field. Very strong academic performance. Experience in molecular machine learning. Experience with