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to learn about, (road) network traffic flow theory and simulation. You are interested in mentoring and supporting MSc and PhD students. You are a machine learning enthusiast (and realist). You love coding
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that copy, transform, and maintain data in multiple places, creating rigidity, high maintenance costs, limited scalability, and strong vendor dependencies. In response, a paradigm shift is emerging – data
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. Existing procurement processes are designed to minimize costs and manage risks, which means circular solutions often remain limited to pilot projects. The project develops practical guidelines that help
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AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic
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. Experience with infectious disease data analysis, mathematical modelling, statistical modelling, simulation modelling, or related quantitative methods. Strong programming skills in R, Python, or a comparable