126 postdoc-in-thermal-network-of-the-physical-building PhD positions at University of Groningen in Netherlands
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The REACT MSCA DN Project: Self-awareness in humans is an innate capability, arising from the brain’s ability to process a multitude of sensory inputs. Emulating this functionality in electronic
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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
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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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. The dissertation should make a novel contribution to the study of ancient Greek or Latin literature in relation to posthumanism and/or environmental criticism. Candidates are free to design a project within this
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) build data-driven predictive models for catalyst activities and selectivities; 3) implement closed-loop ligand optimization for reactivity and stereoselectivity. This position will be part of the Marie
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) develop dedicated representations for catalyst mixtures; 2) apply the developed representations to building predictive models for catalyst activity and selectivity; 3) employ the developed representations