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the biological mechanisms behind these neurological and sensory disorders and harness this knowledge to develop new therapeutic strategies. We have world-leading experts who interrogate these conditions at
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natural conditions in the laboratory. Marine phytoplankton, which act as the base of the marine food web and contribute to major global biogeochemical cycles, will be used as a model to understand
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loading conditions. By generating datasets from finite element simulations, ML models can learn the mapping between unit cell design parameters and homogenised properties. State-of-the-art approaches
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models. The project’s key objectives are to: 1) Identify critical indicators relating to ecosystem health and resilience; 2) Incorporate indicators into DBN models to simulate how ecosystems respond
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computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
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knowledge gaps. The project involves both linear and nonlinear dynamics modelling and analysis, as well as experimental testing. An equivalent test structure will first be constructed in the vibration
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King's College London Department of Engineering | London, England | United Kingdom | about 1 month ago
science interlink prevention and prediction of wildfire risk, by contributing to the development of a fundamental physical model to understand the process of fire spread for wildfires, as part of a European
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, regression models, multistate models, simulation models, life table and decomposition approaches, causal inference, matrix population models). Desirable: B1. Scottish Credit and Qualification Framework level
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state-of-the-art high heat flux testing, simulating the extreme environments of fusion reactors. Harness advanced computational tools to model complex particle-material interactions and predict material