43 phd-position-computer-science PhD positions at University of Groningen in Netherlands
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the university's research and make scientific work and knowledge open and accessible to future generations. Qualifications Who you are: You hold a PhD in political sciences (or will obtain a PhD in the near future
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theory and real-world policy design. The PhD position is embedded in the Economics, Econometrics, and Finance research programme of FEB’s Research Institute. The project will be supervised by Dr Viktor
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within the next three years is to be expected. A university PhD training programme is part of the agreement and the candidate will be enrolled in the Graduate School of Science and Engineering. The
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well on various excellence ranking lists. FEBRI, the graduate school and research institute of the Faculty of Economics and Business has available One PhD position in the field of “Global Supply Chain
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achieved consensus. The PRELIFE consortium brings together leading researchers from a wide spectrum of disciplines—including astronomy, biology, chemistry, computer science, earth and planetary sciences
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on sufficient progress in the first year to indicate that you will successfully complete your PhD thesis within the next three years. A PhD training programme is part of the agreement. The position is immediately
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We are looking for a motivated PhD candidate for a project carried out under the supervision of Prof. Ben Feringa at the Stratingh Institute for Chemistry. The project is part of the EVOLVE
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well on various excellence ranking lists. FEBRI, the graduate school and research institute of the Faculty of Economics and Business has one PhD position in the field of Regional organization
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skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric reactions. World-leading industrial partners with a wide range of interests will provide advice on which
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together academic research groups with expertise in experimental catalyst development and theoretical groups skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric