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PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex thermo-mechanical behaviour (e.g
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background and interests, with an emphasis either on iPSC-based disease modelling or on computational analysis and integration of multi-omics data.
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unprecedented clarity. The project combines high-resolution analysis of genetic, epigenetic and gene expression variation between apomictic plants, which exposes putative natural epialleles (this PhD project
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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the classroom and how educational environments can support children in becoming curious and actively seeking information. In this PhD project, you will investigate curiosity in 10-to 12-year-old children within
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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diagnosis, monitor disease progression and assess treatment response. In this PhD project, you will develop and validate liquid biomarkers for leukodystrophies by integrating multi-omics data from patient
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and collecting experimental data. You also have experience with, or a strong willingness to develop, skills in advanced statistical methods and quantitative data analysis. Experience with computational
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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the guidance of your daily supervisors Dedmer van de Waal and Mandy Velthuis. You will develop a PhD thesis plan, prepare and perform the research, analyze the data, present your results at meetings and