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group. The successful candidate will work with a team of experts who will support and guide them through the project. Project aims and objectives This research aims to: Explore the design and evaluate
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development. Objectives: Create realistic pollutant exposure samples representing indoor and outdoor pollutant (mixtures) using an established model of the human alveolar epithelial barrier. Apply multi-omic
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to machine learning and deep neural networks, into the DG finite element solver to reduce computational costs while maintaining the accuracy. The key objective of this work will be to provide step-change
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easier tracking of applications. Funding Fully and directly funded for this project only for 3.5 years (total £137k): Standard UKRI stipend for 42 months (currently £20,780 per year, tax free) Tuition fees
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to the development of digital twin technologies for sCO2 power generation systems. The Centre for Propulsion and Thermal Power Engineering has a key focus and a proven track record on gas turbine performance, gas path
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, usability, and insight into leakage dynamics across diverse constructions. Research Objectives The project is structured around three synergistic work packages: Descriptive Analytics: You will conduct a
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, and how sweat glands respond to different lifestyles, in particular sedentary. Objective of this project, in collaboration with Unilever, is to design, build and validate a wearable, flexible biosensor
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—specifically leveraging descriptive, predictive, and generative modelling techniques—to enhance test accuracy, usability, and insight into leakage dynamics across diverse constructions. Research Objectives
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microstructure exhibiting improved physical and mechanical properties. The main objective of this project will be to develop a mechanistic understating of the microstructural evolution of the Additive
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microstructure exhibiting improved physical and mechanical properties. The main objective of this project will be to develop a mechanistic understating of the microstructural evolution of the Additive