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researcher will be expected to employ doctrinal legal research methods as well as conduct a comparative analysis between jurisdictions. Depending on the project’s development and feasibility considerations
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
contributing to global discussions. The candidate will develop strong research skills, with particular focus on participatory methods, and approaches grounded in cultural heritage and critical studies. The PhD
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quantitative research methods and will be conducted in close collaboration with hospitals and partners in the North of the Netherlands as part of the Care2Change consortium. Your tasks as a PhD candidate are
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-year PhD program, you will join a collaborative research team applying cutting-edge methods from Experimental/Behavioral Economics alongside modern macroeconomic modelling techniques (e.g. DSGE). You'll
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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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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
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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 used to establish such a
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trends. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular properties of catalysts together with statistical methods to derive predictive models
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to participate in field experiments. The PhD position is embedded in the research programme Marketing of FEB’s Research Institute. You will therefore be working at the Department of Marketing. The project will be
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the overall structure of the cosmic web are the various versions of the scale-space MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical