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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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, comparable flexible models for longitudinal data are still lacking. Moreover, it remains unclear how to assess whether simpler latent variable models adequately fit these complex datasets. During this PhD
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modelling approaches that enable the analysis of future nature restoration actions in a dynamic land use context You write a PhD thesis based on a series of scientific papers that document your research You
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grant program - NeuroSync, supported by dedicated technicians and embedded in a dynamic team of PhD students and postdocs working with complementary technologies. NeuroSync investigates how species
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in policy and decision-making. In this PhD, you will contribute to a new generation of spatially explicit models and assessments that capture these feedbacks across spatial and temporal scales
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for their governing mechanisms? How can we make these model computationally efficient and capable of scaling to large dataset sizes? Scientific challenges for this exciting PhD project include: develop principled
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staff position within a Research Infrastructure? No Offer Description Job description The offered position is a PhD research trajectory within a collaborative project entitled Maintain Muscle and Brain
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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identify network designs that can further enhance global telecommunications and urban performance. This exciting PhD project presents several scientific challenges, including developing advanced models
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions