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Primary supervisor - Dr Zoe Venables Immune checkpoint inhibitors have transformed cancer care and are now integral to treatment pathways across multiple tumour types, with melanoma representing one
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of future generations. This Leverhulme doctoral programme will train a new generation of interdisciplinary scholars to develop a deeper, holistic view of the interactions between humans and freshwaters
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testing potential drug candidates in high-throughput. One of the barriers to the discovery of new medicines is the time taken to design, synthesise and test compounds through multiple cycles of optimisation
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of complex behaviours such as void formation and brittleness. In parallel, you will explore formulation and processing strategies to improve toughness, reduce embodied energy and eliminate the need for cold
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using one of the largest PD microbiome datasets assembled to date. You will work with a landmark pan‑African cohort of up to 2,000 adults (1,000 PD cases and 1,000 matched controls) from multiple regions
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skills Biomedical Data Science UG degree: List A List B Introduction to Medical Ethics Python language programming Probability theory, statistics and Bayesian analysis Artificial intelligence in Medicine
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develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction of complex behaviours such as void formation and brittleness. In parallel, you will
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‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD
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multiple international fleets of methanol-fuelled vessels, but virtually all methanol is produced by steam methane reformation of natural gas, so the carbon footprint is substantial. “Biomethanol”, derived
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is influenced by multiple parameters and strongly coupled with the solidification process, and its evolution and quantitative mechanisms remain poorly understood, which poses a key bottleneck to