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20% of your time will be dedicated to this training component, which includes training on the job in assisting in the Bachelor and Master programmes of the department at Utrecht University. Your
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interviews, document analysis, questionnaires and futuring, i.e. future thinking or imagination of the future. The project ‘Delta Values’ is a developing network of partnerships, combining their own research
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improvements will be compared to local and remotely sensed observations during extensive validation and sensitivity analysis. A personalised training programme will be set up, reflecting your training needs and
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particle geometry in three dimensions using slice-and-view FIB-SEM analysis. Determining mineralogical and chemical properties (composition, zoning, crystallographic orientation) using complementary electron
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quantitative data analysis using R and/or Python; experience with statistical modelling and the analysis of complex biological data; a strong interest in exposomics, multi-omics integration, and brain–body
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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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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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to this project in their application. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component
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the department Environmental Modelling, Sensing and Analysis (EMSA) within the Particle Expertise Centre. This is one of three teams in the department which alongside microplastics also researches the complexity