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. This includes modelling, data analysis and algorithmic development, as well as experimental validation of models and algorithms. It contributes to the performance assessment of space missions. More specifically
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of the eye is widely used for research in ophthalmology and beyond. The possibilities for image analysis are increasing rapidly as AI progresses. However, much of these developments have not reached the actual
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clinical cohort analysis to refine and personalize circulatory support strategies. As a PhD candidate, you play a strategically important role in connecting experimental MCS research with clinical outcomes
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are seeking a motivated candidate with a Master degree in epidemiology, data science or health economics. Experience in simulation modelling, regression analysis, mathematical background and (clinical) work in
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Postdoctoral researcher MAKEBELIEF: Imagineering Religion and Religious Heritage in China - Meertens
doing You will work as postdoctoral researcher in an interdisciplinary team of researchers. Your research will focus on the use of immersive media to imagineer religion, heritage and national identity in
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, actively engaging in scientific discussions and joint research initiatives. You will work here The research is embedded within the chair Artificial Intelligence which is led by Prof. Ioannis Athanasiadis
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group in Utrecht University, which focuses on multimodal computer analysis of human behaviour. As a PhD candidate, you will be part of a vibrant inter- and transdisciplinary research community
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we’re growing along with it. At the Universiteit Maastricht (UM), your work makes a difference—whether you explore complex biological systems, contribute to cutting-edge research, or help shape
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this position, you will develop high-fidelity block-based numerical models capable of representing the geometric and mechanical complexity of historical multi-wythe masonry. Your work will involve analysing how
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and/or social policy evaluation, and can: Carry out independent empirical research at a high academic level, from data cleaning to publication-ready analysis. Work effectively with large, complex