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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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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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this with demonstrable knowledge on this topic (e.g., study assignments, MA thesis); Firm basis in and ideally experience with qualitative research methods and data analysis, in particular: shadowing
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European cities, and can ideally prove this with demonstrable knowledge on this topic (e.g., study assignments, MA thesis); Firm basis in and ideally experience with qualitative research methods and data
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academic success. This PhD project proposes using quantitative (surveys) and qualitative (participatory research) methods to collaborate with students from immigrant backgrounds and their parents in
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++ programme “Break-through technologies in flow and fluid composition measurement”. It involves close cooperation with flow sensor companies and the TU Delft, where a post-doc will focus on the electronic
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collaboration with the Interfaces and Correlated Electronics (ICE) group at the University of Twente and the Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive
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-funded research programme 'Fertile Soils', in which interdisciplinary and transdisciplinary research is conducted into integral sustainability and improvement of the relationships between rural and urban