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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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++ 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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in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
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public audiences and taking part in a pilot programme where experience can be acquired in high school science teaching; use graph theoretical tools to develop new fundamental frameworks and analytic tools
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a PhD candidate, you will join the Artificial Cognitive Systems group within the Department of Machine Learning and Neural Computing at the Donders Institute for Brain, Cognition and Behaviour. You
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are encouraged to submit a research proposal that aligns with UCALL's research programme and encompasses multiple areas of law. Your job Over a period of four years, you will conduct a PhD research under the