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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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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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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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PhD Position: Quantifying Indoor and Occupational Microplastic Exposure Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 40
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PhD Position on Parameterized and Fine-Grained Complexity of NP-Hard Problems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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3D printers, furnaces, centrifuges, and microfluidic devices. Meticulous data recording and analysis are essential, as the project combines practical engineering with fundamental physical chemistry
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and/or educational projects. Within the Delta Values team, the PhD student will have their own clearly defined tasks, co-developed with the supervisory team. What will you do? collect and analyse data
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quantitative methodological skills, for instance knowledge of (spatial) data analysis, hydrological modelling, AI-based methods Experience with programming languages (e.g. Python) Motivation to cooperate in a
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and the Netherlands, the PhD candidate will include an analysis on infrastructure, policies, and planning in such a way as to contribute to the urban-ocean planning scenario co-designed with other