116 computational-physics-superconductor PhD positions at University of Groningen in Netherlands
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(no letters of recommendation are needed for the application process). English Language Certificate (e.g., IELTS, TOEFL) In case your Master’s/ (Re)MA degree is not in English. Please send your application as
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Institute for Mathematics, Computer Science and Artificial Intelligence with the topic of responsible human-AI collaboration. The successful candidate will become a member of the Multi-Agent Systems Group
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
successful completion of the PhD thesis within the contract period is to be expected. A PhD training program is part of the agreement and the successful candidate will be enrolled in the Graduate School
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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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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 reactions
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(GGSL). The GGSL offers a training program to help carry out this research. Your training program will be tailored to your interests, and needs for development. During your appointment, you will publish
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supervisors, you will conduct independent scientific research resulting in a dissertation. You will be accommodated at the Groningen Graduate School of Law (GGSL). The GGSL offers a training program to help
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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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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
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for realizing challenging asymmetric catalytic methods. This network brings together academic research groups with expertise in experimental catalyst development and theoretical groups skilled in computational