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deadline: 17 March 2026 Apply now University School of Economics offers a fully funded PhD on the economic aspects of water-resilient landscapes. The project develops a comprehensive economic analysis of
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. The PhD candidate will be based in the Molecular Epidemiology and Data Science Group, led by Dr. Natalia Vilor-Tejedor, and will collaborate with researchers in epidemiology, neuroscience, data science, and
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qualitative data to study how parents’ social network connections and resources shape their children’s career outcomes. As a PhD candidate, you will work on your own project within the SHINE programme. The aim
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interest in and experience with analysing quantitative survey data, e.g. multilevel regression and longitudinal panel analysis, using SPSS, Stata, or R. You have an excellent command of Dutch (for collecting
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negative caregiver outcomes. Methodologically, the project combines quantitative and qualitative approaches and builds on high-quality Dutch data sources. The PhD candidate will conduct multiple empirical
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existing datasets and set up new studies, collecting samples from horses and performing laboratory experiments followed by data analysis. Techniques such as 16S rRNA sequencing, shotgun metagenomic
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and clinical populations (e.g. stroke, brain tumour and neurodegenerative conditions). You will contribute to data preprocessing, and advanced analysis, including tractography, network modelling and
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for different water and land users, livelihoods, and landscapes. In collaboration with various societal and academic partners in Indonesia and the Netherlands, the PhD candidate will include an analysis
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services (approximately six months). Candidates are also expected to spend a small number of hours on teaching duties. For more information about the PhD trajectory in general, please contact Suzanne van de
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PhD Position: Quantifying Indoor and Occupational Microplastic Exposure Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 40