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Field
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light on the human brain’s unique vulnerability to vascular disorders. What you do Develop scalable, robust, and reproducible data-analysis pipelines (statistics, mathematical modeling, and ML
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for a highly motivated researcher who is driven by curiosity and has/is: Master’s degree or equivalent from an EU/US/UK based university, in Operations Research, Computer Science , Mathematics
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MPhil) in Economics, Econometrics, Finance, Mathematics, Business Administration, or a related field. Graduation from a two-year Master’s programme (120 ECTS) is an advantage. Research skills – Knowledge
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decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which electricity markets to focus. In this PhD trajectory, we
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batteries enter the power system, requires state-of-the-art decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which
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skills. Strong academic background – You hold (or will obtain by winter 2025/2026) a Master’s degree (MSc or MPhil) in Economics, Econometrics, Finance, Mathematics, Business Administration, or a related
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Sensing, Applied Mathematics, Statistics or a closely related field; a strong methodological background covering spatial sampling, design-based estimation, model-based prediction (geostatistics, machine
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science, and to make a contribution to addressing the major societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics
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, sustainability science, geography, or a related field. You have experience with quantitative research methodologies, including mathematical programming or scenario modelling. You have experience with spatial
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from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organized in eight institutes