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subprojects (SP): 1) SP1 includes desk research and case file analysis about how decisions are based on what kind of legitimations 2) SP2 unfolds how decisions are justified in-the-making via shadowing and
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research and case file analysis about how decisions are based on what kind of legitimations 2) SP2 unfolds how decisions are justified in-the-making via shadowing and narrative interviews 3) SP3 focusses
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imaging. Strong analytical skills and experience with medical imaging technologies and data analysis. The ability to work collaboratively in multidisciplinary teams and communicate effectively across
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their research interests, such as ethnographic fieldwork, digital media analysis, interviews, surveys, or spatial mapping techniques. You will be asked to: Conduct original research on audience experience in live
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terms of fieldwork, participation in consortium meetings, and to the analysis and writing of the shared output. The candidate is expected to contribute actively to the Marine Ecology Lab. Group and the
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trajectories between the United Kingdom and India. The candidate will be part of the ERC-funded project ‘Retirement across countries: A tripartite analysis of the welfare state, family care networks, and the
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between the Netherlands and Turkey. The candidate will be part of the ERC-funded project ‘Retirement across countries: A tripartite analysis of the welfare state, family care networks, and the retirement
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multiscale analysis of the mass distribution, as well as that of the flow field structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer
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systems and potentially extend their experimental capabilities by integrating deep learning throughout the imaging workflow, from data acquisition to final analysis. As a PhD student in this project, you
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) Proven affinity with the application of statistical methods for data analysis of spatial and temporal datasets in the domain of agronomy, ecology and environmental sciences Proven affinity with modeling