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The position is available in the Software Science group of the Institute for Computing and Information Sciences (iCIS) at Radboud University. Our mission is to do top research on the use of models
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Do you want to conduct top-notch research and bridge the gap between theory and application regarding software analysis? As a PhD Candidate, you will focus on developing faster and more scalable techniques for the formal analysis of safety-critical systems. Join a diverse environment where you...
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learning, planning and reinforcement learning, depending of the joint interests of you and the principal investigator. Profile You hold an MSc or equivalent degree in computer science, mathematics or a
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Exploring your interests during school experience plays a significant role in deciding your focus later in life. As such, teaching students about computer science can help open their eyes
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during school experience plays a significant role in deciding your focus later in life. As such, teaching students about computer science can help open their eyes to the digital world at a young age. As a
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and why science fails to correct itself, concentrating on the field of nanobiology. Project members combine approaches from the natural sciences, computer science, and the social sciences and humanities
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You will be affiliated with the Data Science group of the Institute for Computing and Information Sciences (iCIS), and with the iHub at Radboud University. Research at iCIS focuses on three themes
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cognitive decline. The Institute for Computing and Information Sciences (iCIS) at Radboud University is looking for a PhD candidate with a strong background in machine learning and/or statistics, to develop
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. Carolien van Ham and Dr Erika van Elsas (RU) and Prof. Claes de Vreese and Dr Katjana Gattermann (ASCoR/UvA). You will be part of a team at the Department of Political Science and enroll in the PhD programme
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for Computing and Information Sciences (iCIS) at Radboud University is looking for a PhD candidate with a strong background in machine learning and/or statistics, to develop and analyse machine learning and