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recruiting participants, to conducting ego-centric network studies and experiments at Dutch schools and Dutch companies); You will use advanced statistical methods to process and analyze data (e.g., social
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to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
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structures each have distinct implications for sustainable landscape governance. Gender dynamics in land rights further influence sustainable landscape management. Women's exclusion from formal land ownership
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, investment, wage-setting, and the transmission of policy. While traditional models provide a strong foundation, growing evidence suggests that real-world expectation formation is shaped by informational
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University
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responsibilities include: gain a deeper understanding of pectin structures in tomatoes and related endogenous enzymes, resulting in a PhD-thesis; set-up a (semi-) high throughput chromatographic method to map pectin
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, the Dutch policy context and the two policy cases under study. Key skills that the candidate will be developing and working with are: - advanced quantitative data analyses; - simulation modelling
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the brain learns to deal with a larger social environment. The insights obtained from the research of Eveline Crone can help to structure education and society more effectively with a view to the
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dune development and increase the applicability of coastal dune models. Your job In this project, you will investigate dune erosion and growth by performing morphological analysis on existing coastal