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of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems), Computer Science (Machine
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our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors
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of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim
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, epidemiologists and patient partners. Publishing scientific articles in international peer-reviewed journals and presenting findings at international conferences. Contributing to the development of future
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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with anticipating the consequences of adopting nature-inclusive transitions for business and for nature. In that role, you will develop and explore the potential of farm typologies to deal with
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to develop engineering interventions to improve plant regeneration, seed longevity and defenses against disease. Your task will be to further develop two-dimensional and three-dimensional models of plant
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socially supported agricultural sector in the Netherlands (https://regenl.nl/ ). Are farmers motivated to contribute to sustainability transitions in the agricultural sector? Your research will investigate
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. Regenerative agriculture is a promising avenue to support a healthy, multi-functional and future-proof soil and farming system. Together with regenerative Dutch farmers, ReGeNL is developing a future-proof
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development, immune responses, and cancer progression. We are looking for a highly motivated PhD candidate with an interest in combining non-equilibrium statistical physics, active matter physics, and