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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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and pancreatic malignancies. You’ll develop innovative workflows to integrate and analyse large-scale multi-omic datasets from Genomics England’s 100,000 Genomes Project, including whole-genome
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simulation software tools developed by the group. This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently £20,780 for 2025/26). Additional research expenses will
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for cognitive and mood-related benefits and the interaction with the gut. The successful candidate will work closely with the supervisory team and key stakeholders at HTC Health to develop the specific programme
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aims to develop a novel theoretical framework for nonlinear and robust control of dynamical systems from a phase perspective. You will have the opportunity to freely explore multiple research directions
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of complex metagenomic data. You will also become proficient in lifecycle carbon accounting and data-driven decision-making, all mapped to the Researcher Development Framework at Cranfield University. Regular
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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applications. The research project aims to explore the integration of 2D materials, such as graphene and post-graphene structures, into PFAS-free formulations to develop multifunctional coatings for porous
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would co-develop the research objectives and select the methods to be implemented with supervisory support. Some ideas to discuss include integrating repeat GEDI LiDAR surveys with time-series
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The All-Wales Intensive Learning Academy for Innovation in Health and Social Care has been developed to deliver a world-class learning, research and teaching base that will equip leaders with