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investigate how bioacoustics and artificial intelligence can be combined to develop automated, non-invasive approaches for assessing dairy cattle welfare. The project will explore how acoustic information
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an emphasis on reaction development and optimization. Training BioProcess aims to train the next generation of bio-innovators. Our interdisciplinary programmes prepare PhD students and researchers with the real
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will develop an integrated framework combining computational fluid dynamics (CFD) with quantum gas LiDAR measurements to improve the quantification of methane emissions. The central research question is
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fees will be paid. We expect the stipend to increase each year. The start date is October 2026. This fully funded PhD project will merge the latest tools from experimental directed evolution with
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. This PhD project aims to create advanced XCT workflows by developing Artificial Intelligence (AI) and Machine Learning (ML) tools to support imaging before the reconstruction phase. The research will focus
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The development of safe, high-energy solid-state batteries is a key UK national priority, but it faces a critical bottleneck: the microscopic flaws that cause catastrophic failure (such as dendrite
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to develop, because all of the features associated with the small- and large-molecule drug components must be optimised together. Computational mathematical modelling is used to make the optimisation of ADCs
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project, in collaboration with Syngenta, will develop catalytic and modular synthetic routes to an underexplored class of fluorinated three-dimensional building blocks with strong potential for application
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control performance and efficiency. This PhD project focuses on data-driven analysis of confined liquids structure, informed by total neutron scattering. The emphasis is on developing new analysis
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. Objectives The aim of this project is to circumvent these limitations and develop sustainable transition-metal-free substitution reactions through unconventional modes of catalysis. Building upon our previous