17 data-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM"-"L2CM" PhD positions at Utrecht University in Netherlands
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: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning
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, census, and non-traditional data sources such as web and satellite data. Contribute to ground-breaking methodology with real societal impact across the EU. Your job The Department of Methodology and
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and understanding of complex biological systems and biodiversity. You will get the opportunity to learn about both simple and complex biological models, computer programming, data visualisation, and
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of postdivorce family diversity and gender. Your job The project utilizes (i) panel data ‘New Families in the Netherlands’, (ii) administrative data, and (iii) newly collected qualitative data. The project will
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PhD Position in Categorical Foundations of Type Theory Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 6
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of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . About us A better
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independent scholarship with collaborative, practice-oriented engagement. Must-have qualifications: a completed (Research) Master’s degree in Media Studies, Communication and Information Studies, Education and
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-throughput phenotyping. You will develop novel methodologies, execute experiments, analyse data, and present your project results in the form of manuscripts and oral presentations. In addition to your research
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quantitative data and qualitative fieldwork. Publishing research findings in peer-reviewed academic journals and presenting them at conferences. Collaborating with interdisciplinary researchers and engaging with
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering