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The candidate should have experience with hydraulics, hydrology or urban drainage. Furthermore, excellent skills within mathematics, statistics, programming (Python, Matlab or other languages), and geographical
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range of mathematical disciplines and has three study programmes: mathematics(including a specialization in statistics at the master level), mathematical economics, and mathematics-technology. The
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relevant Master’s programme, such as Signal processing, Machine learning, Statistics, Mathematics, Acoustics, or similar. The integrated stipend consists of two parts, A and B. During part A you are enrolled
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science(e.g., mathematics, physics, computer science, etc.), a strong background in data science, statistics, or machine learning, and an interest in biomedicine. Alternatively, a candidate with a
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on generative AI have been suggested. The data science team under this project will develop privacy metrics based on Bayesian statistics. The overarching purpose of the legal part of the project is to develop