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narratives through participatory research methods and stakeholder engagement. Apply spatial modelling tools (e.g., GIS) alongside AI-based techniques to generate risk and vulnerability maps. Analyze and
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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
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optimisation tools for aperiodic lattice metamaterials. The research will integrate physics-based modelling with machine learning to enable the efficient exploration of vast design spaces defined by
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research covers a wide range of topics from radiobiology, radiation physics and space research to radiation therapy. The radiobiologic modelling group focuses on developing strategies and mathematical models
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and generatingnarratives describing the changes in natural language. The PhD student’s main responsibilities will include: - studying the data structures of OSM and the Topo database (models
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. This leaves manufacturers and battery management system developers with limited data on which to define safe operating windows, while the computational models intended to predict plating–stripping dynamics
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such as perceptual, spatial, temporal, emotional, and event content). By removing the burden of manual scoring, these automated tools make large-scale and longitudinal studies of memory possible, including
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enables the fabrication of spatially complex metal structures with features on the micron-scale. However, our capacity to intelligently design these surfaces is 2 limited, because the models that predict
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-efficiency spectral tuning; spatial/spectral demultiplexing via microlens integration; low-power tunable circuit design; and low-loss silicon nitride (Si₃N₄) components for visible and near-infrared. The role
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exhibits strong spatial and temporal nonlocality. This PhD project aims to address these limitations by developing a novel theoretical framework based on the exact electron factorization. In this approach