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dynamics to neuroaesthetics Modelling Oscillations in Human Immune & Neuroimmune Cells Multi-level modelling of neuromodulation and lesioning Multimodal Machine Learning for Psychological Profiling
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application and development of methods for advanced NMR investigations of hyperpolarised solids. This will involve varying proportions of hands-on experimentation, theoretical work, numerical simulations, and
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essential for identifying ecological tipping points and forecasting climate change impacts in complex marine ecosystems. This project will apply a multi-level approach (molecular, physiology and ecology
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biogeochemical processing of nutrients, aiding water quality remediation, and carbon sequestration. Despite their relatively small area, floodplains support a disproportionately high biodiversity due to dynamic
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King's College London Department of Engineering | London, England | United Kingdom | about 1 month ago
these PhD projects the research will aim at quantifying some of these mechanisms for different wildfire scenarios. The project will likely require a combination of qualitative, quantitative and simulation
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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Project Supervisor - Professor Rudy Lapeer The Birth4Cast “Digital Twin” aims to create a subject-specific computational biomechanics simulator of childbirth from prenatal fetal MRI scans
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of environment and to stresses, in order to reach maturity and reproduction. Recent advanced in genomics studies are always more convincingly showing that environmental information can be recorded at molecular
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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aesthetic appeal. Since the first synthesis of a catenane in 1960, mechanical bonds have been used in a variety of contexts and their dynamic properties have been exploited to build molecular machines and new