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: The relation between climate change, health and work; The relation between health, income and the burden of COVID-19; You will conduct state-of-the-art statistical analyses using linked, population-level data
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supramolecular origins of purposeful movement in living matter, with a focus ranging from artificial molecular machines to the molecular origins of life. Our research spans three primary areas: 1) Our group
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candidate with: - with an MSc degree in epidemiology, health sciences, public health, (health) economics, econometrics, mathematics, quantitative sociology, (developmental) psychology or a related field
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of stereoselective catalysis. As a main training goal, we want to educate researchers in comprehensive data-driven experimental approaches for realizing challenging asymmetric catalytic methods. This network brings
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at the development of powerful and readily applicable workflows for data-driven development of stereoselective catalysis. As a main training goal, we want to educate researchers in comprehensive data-driven
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English fluently and has obtained excellent results in the master phase. The PhD candidate should have a background (MSc/MA, preferably research master) in normative philosophy (ethics and/or epistemology
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, governance, and economic innovation. Furthermore, the ideal candidate….. Has a strong academic background (MSc, research master) in a field such as organizational studies, business administration, innovation
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motivated and wishes to make a scientific contribution to understanding consumer behavior in sustainable fashion. Furthermore, the ideal candidate… Has a strong background (MSc, Research Master) in
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information about the Intelligent Systems group please use the following link: http://www.cs.rug.nl/is Qualifications We welcome applicants who have: a master’s degree in mechanical engineering, materials
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and writes English fluently and has obtained excellent results in the master phase. The PhD candidate should have a background (MSc, research master) in international business, operations management