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Employment 0.8 FTE Gross monthly salary € 4,925 - € 6,682 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 13 October 2026 Apply now Are you passionate
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scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who focuses on modelling
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into mechanistic insight Lead a PhD student in development of a controlled flow system for in situ ATR-UV–Vis spectroscopy including polarization and use it to monitor the formation, orientation, and evolution
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making decisions about digital health technologies. Many healthcare professionals, however, report that they lack the knowledge, confidence, or practical tools to determine whether a health app is
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that affects the measured data and translate the observations into mechanistic insight Lead a PhD student in development of a controlled flow system for in situ ATR-UV–Vis spectroscopy including
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meaningful learning be redefined in today’s AI-enabled educational landscape? The project has the following overarching goals: (1) develop a theoretical framework of constructive alignment for AI-rich teaching
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2026 Apply now Interested in how geospatial data science and GeoAI can be applied to investigate health system resilience under the rising pressure of polycrisis? Excited about developing spatial models
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qubit to build quantum superpositions of unprecedented size. You will develop skills to become an expert in complex nanofabrication as well as an expert in quantum measurements and control with
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models of high-voltage components, substations and protection. What you will do Develop and validate detailed EMT models of high-voltage components in RSCAD/RTDS, for example lines and cables, transformers
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their added value against simpler machine-learning baselines; train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability, generalisation across studies