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-order predictive models. The student will gain hands-on experience in industrial applications, including practical aspects of aeroengine oil system design, spending part of their PhD based on-site
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Applications are invited for a Research Associate position within the Control and Power Research Group, working on a new research initiative focused on load modelling in power systems at grid supply
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PhD Studentship: The Role of O-glycosylation of the Stalk Region of the Immunoglobulin Receptor GPVI
based in group of Dr Alexandre Slater and Prof Steve Watson within the Birmingham Platelet group at the University of Birmingham, Department of Cardiovascular Sciences. Dr Slater’s interests have focussed
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effectively under increasingly demanding operating conditions. Thermal management based on direct contact two-phase boiling dielectric oil immersion strategies offer a transformative route, using liquid-vapour
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Learning heat: Physics-Informed Fourier Neural Operators for High-Fidelity Thermal NDE Modern non-destructive evaluation (NDE) increasingly relies on AI models that can reason with physics, scale
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architectures that are impractical for scenarios constrained by limited data and resources for fine-tuning and deployment of large-scale models. What’s more, multimodal models are particularly vulnerable to data
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Sustainable Aviation Fuel (SAF) mandates that target 22% renewable blending by 2040 and 70% by 2050. However, current SAF routes like HEFA and ATJ depend on costly, food-based feedstocks. This project addresses
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modelling framework to predict key thermal hydraulic parameters for boiling flows within complex geometries at high heat flux conditions, relevant to the engineering design of thermal management elements
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neuroprotective effects. Camptothecin – A clinically relevant anticancer agent targeting Topoisomerase I. In collaboration with Prozomix Ltd. (an industrial leader in enzyme development), this project will
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them to government policy and targets. The model will be based on past transport and energy sector transitions and applied to the clean energy transition. On completion, the student will gain expertise