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satellite data analysis and coupled climate modelling, contributing to improved predictions of Arctic change and global sea level rise. The intended start date of position is flexible, but preferably before
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) Epidemiology, Bioinformatics or a related field; demonstrated expertise in programming and quantitative data analysis in R/Python; a strong interest in high dimensional omics and exposome research; excellent
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of the estimand framework and target trial emulation can improve the design, analysis, and interpretability of observational studies for clinical and regulatory decision-making. Your job In this PhD project, you
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offers a unique opportunity to develop strong skills in satellite data analysis and coupled climate modelling, contributing to improved predictions of Arctic change and global sea level rise. The intended
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mathematical modelling, with a focus on real-world applications. This includes statistics, uncertainty quantification, data analysis, signal processing, (mathematical foundations of) machine learning, and
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research. We welcome applications from the broad area of mathematical modelling, with a focus on real-world applications. This includes statistics, uncertainty quantification, data analysis, signal
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offers a stimulating environment with fostering collaborations with distinguished researchers, postdocs, and PhD candidates specialising in operando spectroscopy techniques for catalyst analysis. Your main
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quantitative methods for the animal health domain. You make your insights on novel developments accessible for staff and students through consultancy on research methodology, data analysis and advanced
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using state-of-the-art methods Develop strong skills in data analysis and critical thinking Grow into an independent scientist while expanding your knowledge through your own research Contribute to a
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candidate to conduct interdisciplinary research that links question answering, knowledge modelling, geo-spatial analysis, and workflow construction. This PhD position focuses on developing a semantic model of