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PhD Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization (1.0 FTE)
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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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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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
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criminalisation of homelessness in other nations. The PhD researcher will be expected to employ doctrinal legal research methods as well as conduct a comparative analysis between jurisdictions. Depending
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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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-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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The intersection of physical and digital space in shaping collective or individual experiences Audience movement within the venue using methods of geo-tracking or spatial mapping Feelings of safety, comfort, and
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some experience with quantitative methods and statistical software like R, STATA, Python or similar Be enthusiastic about writing international, prestigious academic publications Dutch language is not
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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