121 postdoc-in-thermal-network-of-the-physical-building PhD positions at University of Groningen
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PhD Network effects and spatial transmission in ESG risks and performances in China (V25.0143) « Back to the overview Job description Since its foundation in 1614, the University of Groningen has
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-quality teaching and research. Belonging to the best research universities of Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly
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://romeijn.web.rug.nl/paper/2023_romeijn_-_VICI_project_description.pdf ), where you can find a detailed list of planned PhD projects and postdoc positions. Organisation Since its founding in 1614, the University
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alike to develop their own individual talents. As one of the best research universities in Europe, the University of Groningen has joined forces with other top universities and networks worldwide
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has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge. Within the Faculty of Science and Engineering, a 4-years PhD position is available
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identity. The project will make use of prehistoric ceramic assemblages from the FDP and consist of a wide scope of methods including stylistic, scientific and statistical approaches. The goal of the project
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of this project, the theme of sustainable behavior change is central. We are genuinely open and curious to learn how applicants see themselves contributing to this project. We invite you to make a case for how your
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We are looking for two PhD candidates for a project within the Doctoral Network “MonaLisa”, a consortium of 20 partners composed of high-profile universities, research institutions and companies
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-quality teaching and research. Belonging to the best research universities of Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly
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identification of biological sounds using passive acoustic data. Passive acoustic monitoring will be conducted with species identification based on a neural network trained and tuned to the turbulent waters