50 application-programming-android-"Prof" PhD scholarships at University of Groningen in Netherlands
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The PhD position is embedded in the research programme of Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by dr. J.A.M. de Grefte, prof. dr. B.P. de Bruin and
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-for-Good, the municipality of Emmen, NOM, InvestNL, and other academic and regional stakeholders. The PhD position will be embedded within the research programme Global Economics & Management at the Faculty
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will be embedded within the research programme Marketing at the Faculty of Economics and Business (FEB). The project will be supervised by Marijke Leliveld and Kim Poldner. The ideal candidate is highly
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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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-class expertise from eight Dutch Universities, five Research Institutes and relevant societal stakeholders that play a major role in research and management of the North Sea. The six-year program (2025
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, febphdvacancies@rug.nl Prof. Machiel Mulder (for more information on this specific project), machiel.mulder@rug.nl (please do not use the email addresses above for applications)
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communication skills in English. Strong affinity with philosophy of science and scientific methodology. Expertise on, or a strong interest in medical science as application domain. Working knowledge
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machines that will lead to demonstrations with practical relevance. Specifically, this project in the group of prof. Feringa aims to address two key challenges: 1) How can we amplify the work of molecular