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of ‘migration with dignity’? Erasmus School of Philosophy, Rotterdam, is searching for a fulltime PhD researcher within the research project “Dignity in Place”, funded by NWO (Dutch Research Council). Job
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analysis to advance an explanatory model that identifies the causal mechanisms that drive helping. The three PhD candidates will carry out video analysis of CCTV footage of emergencies in Amsterdam and Cape
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data collection fieldwork (quantitative and qualitative) related to health and WASH services followed by econometric and spatial analysis, and engaging with local communities and decision-makers. Your
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engagement behaviors; and programming experiments, survey instruments, and digital trace data collection and analysis tools. Responsibilities are: Writing a PhD thesis Planning and executing data collection
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empirical sociology and complexity approaches Learn to integrate survey data, network analysis, and agent-based modeling Develop strong skills in data analysis, modeling, and social experiments Collaborate
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mechanical, electrical, software, data science, and AI-expertise. We are seeking highly-motivated candidates for the six PhD positions advertised here that address the challenge above by pushing the boundaries
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clinical data. Coordinating patient inclusion, data collection, and analysis across multiple NICUs in five European countries. Harmonizing protocols across study centers and engaging with families to gather
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We are offering a fully funded PhD position with a duration of four years for a motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial
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University Medical Center Utrecht (UMC Utrecht); Published 31 Oct ’25 | Netherlands | about 8 hours ago
validating a machine learning prediction model for CP and related outcomes using neonatal MRI, EEG, GMA, HINE, and clinical data. Coordinating patient inclusion, data collection, and analysis across multiple
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may contain unique information about organ quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in