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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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the corresponding velocity flows inferred from measured galaxy peculiar velocities. These measurements are to be converted into a multiscale analysis of the mass distribution, as well as that of the flow field
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. This PhD project aims to investigate punitive and other public order responses to homelessness, potentially focusing on the Netherlands yet situating the analysis within a comparative framework of the
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order responses to homelessness, potentially focusing on the Netherlands yet situating the analysis within a comparative framework of the criminalisation of homelessness in other nations. The PhD
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(with a strong mathematical focus) with above average grades Advanced knowledge in probability; expertise in random graphs, complex networks, hyperbolic geometry or topological data analysis is a plus
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related discipline; Preferably, hands-on experience with the relevant techniques used in this project, including data analysis; A strong analytical and creative mindset, with problem-solving skills
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accurate analysis and decision-making. For municipalities and provinces, a key challenge is to develop local energy roadmaps that align with regional and national scenarios while addressing specific research
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racialization, heritage negotiation, and governance shape urban experiences. Employing ethnographic methods and discourse analysis, the study focuses on France and/or the Netherlands while remaining open to other
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ethnographic methods and discourse analysis, the study focuses on France and/or the Netherlands while remaining open to other geographical contexts. By emphasizing the global-local nexus, it seeks to uncover how
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use A mixed-method approach is encouraged, and candidates may propose methodological strategies that align with their research interests, such as ethnographic fieldwork, digital media analysis