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are being made with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without
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with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without identifying real
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with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without identifying real
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invasion and plant performance. Working in close collaboration with with a postdoctoral researcher and a fellow PhD candidate, you will identify microbial taxa and microbial interactions that are most
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qualifications and experience: Excellent command of English, both written and spoken; proficiency in Dutch is an advantage Adequate knowledge of statistics, including experience with data analysis Desirable skills
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to three dimensions based on Virtual Leaf3D currently under development by a postdoctoral researcher in our team Publication of the results in the scientific literature and writing a PhD thesis. Co-teaching
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University). The team will consist of Sander Nieuwenhuis, a postdoctoral researcher, the PhD student and a research assistant. If time permits, the PhD student will get the opportunity to contribute
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-year research project aimed at advancing our understanding of foot growth and deformities in children with cerebral palsy. In this project, you will develop statistical shape models and finite element