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devices that can operate in confined anatomical environments and interact with biological tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices
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operational data from Alliander, with regular on-site visits and direct access to the practitioners who will use your models for congestion forecasting, spatial energy planning and flexibility assessment. You
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Are you interested in the long‑term consequences of climate change and adaptation choices and the role that insurers and other financial institutions? Do you want to develop macroeconomic models
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mental models, cognitive maps, and cognitive graphs. These approaches have provided important insights into how people perceive locations, learn route layouts, and understand spatial relations. However
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functionality in response to global changes and restoration efforts at large spatial and temporal scales is essential to understand where action is needed and to monitor restoration success. Developments in
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dioxide, heat, and energy. However, these systems operate at different spatial and temporal scales, making their interactions difficult to analyze with existing modelling approaches. Using this framework
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innovation science, system dynamics, spatial modeling, and ecology. The specific focus of this PhD project is biodiversity monitoring and biological pest control as an ecosystem service. You will study how
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learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical behaviour of water systems and hydrology (prior
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programming skills (Python; familiarity with deep learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical
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PhD position on Modelling of turbidity current fluxes in submarine canyons Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline