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the various phases of silicon in various 3D stress configurations. A predictive model should properly account for the complex physics, damage and fracture. The loading conditions in contact and scratching
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will use a high-fidelity large eddy simulation (LES) code and scientific machine learning tools, such as real-time optimisers, in order to simulate wind farms exposed to various atmospheric inflows. Some
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REF2029 impact. Methods and workplan Data and simulation: curate multi-fidelity datasets that couple finite-element heat simulations with active thermography experiments. Model design: extend FNOs with
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ecosystems, particularly intertidal and shallow subtidal zones, are highly dynamic and thermally extreme, exposing organisms to both marine (MHW) and atmospheric (AHW) heatwaves, often in rapid succession
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Application deadline: 31 December 2025 Apply now Are you excited to use data and simulation models to design healthier, more active cities? Join the Institute for Risk Assessment Sciences (IRAS) as a PhD
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states of light, atoms, material objects, and their use for quantum sensing, quantum communication and quantum simulations are the core activities of the group. CBQS is a collaborative effort between the
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 1 day ago
– Innovation and Digital Transition Programme , to be developed at CIIMAR (Interdisciplinary Centre for Marine and Environmental Research), under the following terms and conditions: Scientific Area
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modelling to understand how changes in sea ice thickness, mobility, and open-water formation influence atmosphere-ice sheet interactions. Your work will include: analysing data from airborne campaigns by
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efficiency, developing knowledge, methods, and transferable software for the simulation and comprehensive sustainability assessment of socio-economic systems. Its purpose is to foster sustainable eco
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collaborators to ensure that model development aligns with data quality, measurement conditions, and evolving research priorities. The SDL operates as a closed-loop system in which each experiment informs