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and have access to state-of-the-art industry experts, data and knowledge, allowing you to make an impact during your PhD research. In this position you will work with real world data and models, aimed
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analysing qualitative data by content analysis, narrative interviews, shadowing, focus groups and vignettes among relevant stakeholders; Publish articles on the intersection of street-level decision-making
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Aarhus neighbourhoods, collecting and analysing qualitative data by content analysis, narrative interviews, shadowing, focus groups and vignettes among relevant stakeholders; Publish articles
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the required cookies. Accept the required cookies to view this content. Show content Practical information and applying You can apply only via the button below. Address your letter of application to
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parks, where university and business life come together. For more information, see https://www.universiteitleiden.nl/en/science. Information about CML can be found at https://www.universiteitleiden.nl/en
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information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching
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scale? This PhD position offers a unique opportunity to bridge social epidemiology, exposome research, and data science, pioneering new ways to understand how social exposures influence health over a
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programming skills (Fortran, Python or similar); affinity with spatiotemporal data analyses and numerical modelling; strong reporting and presentation skills; a good level of written and spoken English. Our
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position aims to assess the impact of drought conditions on water quality in urban areas. To this end, you will first review existing literature and water quality data to be able to map and quantify
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of limited value. An eHTA requires building a health-economic model and scenario analyses, which will help determine the plausible range of health improvements and cost consequences. As more data become