51 phd-in-computer-vision-and-machine-learning PhD positions at University of Groningen in Netherlands
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of cooperation and governance and provide a benchmark for designing circular chains and networks. The PhD position is embedded in the research programme OPERA of FEB’s Research Institute. The project will be
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year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be
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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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designing circular chains and networks. The PhD position is embedded in the research programme OPERA of FEB’s Research Institute. The project will be supervised by Prof. Dirk Pieter van Donk and Dr Eugenia
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-using firms to be regarded as reliable by regulators and consumers? Organization The PhD position is embedded in the research programme Innovation & Organization of FEB’s Research Institute. The project
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and spoken English. - Strong analytical skills. - Willingness to acquire a variety of additional skills ranging from physics modelling and statistical data analysis to hardware programming. PhD
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to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering. The preferred starting date is as soon
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Fully funded PhD position (1.0 FTE) with the Centre for Historical Research at the Faculty
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spoken English. Strong analytical skills. Willingness to acquire a variety of additional skills ranging from physics modelling and statistical data analysis to hardware programming. PhD researchers
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Engineering offer a 4-year M20 (Ubbo Emmius) Program funded PhD position for a project titled “Grassroots retrofitting: Towards community empowerment and fair residential energy transition using community-based