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PhD: Semantic Modelling of Geodata Sources and Geo-analytical Workflows Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
. This will involve designed experiments exploring tunable physical and chemical parameters, including (but not limited to): flow rate, vortex size, and hydrodynamic mixing plasma energy density (power
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in investigating how smart AI-models are? Do you want to conduct research
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passionate about statistical methodology and motivated by biomedical applications? Join our team on development of latent variable models for multi‑omics and longitudinal data and help advance data‑driven
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on correlation-based machine learning. When an agricultural system fails due to compounding climate extremes - like a simultaneous heatwave, drought, and ozone pollution spike - standard models can forecast the
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hidden patterns from them? Do you enjoy exploring mathematical models and working with network data? Join our team! Job description Complex systems are often modeled with networks, structures where
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and spatial modelling. This research is part of two Horizon Europe projects: WildCard and NatuRISE. The work will be carried out at the Institute for Environmental Studies (IVM) in collaboration with
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land-use and socio-economic simulation models to inform land use planning and policy still inadequately capture many of the benefits of nature restoration, especially those that emerge through spatial
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outcomes. In considering locational characteristics, spatial modelling will be explored where possible and intergenerational inequality dynamics will be investigated in understanding the role of parental
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May 2026 Apply now Are algorithms neutral tools, or do they actively shape the world they model? In this PhD, you will bridge the gap between building and critically studying Human-Centred AI systems