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at a time. Understanding how multiple exposures interact, and how they affect different parts of the respiratory system, is therefore critical for building a more accurate picture of their impact on
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This PhD studentship aims to transform how exercise rehabilitation is delivered for working-age adults living with multiple long-term conditions (MLTCs). Partnering with Chiron AI, an NHS-compliant
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mathematics, mathematical statistics, probability, data analysis, longitudinal modelling, mixed models, or computational methods. Literature LaMotte, L. R. Foundations of Multiple Regression and Analysis
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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
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unified formulation of physical processes across multiple scales. The research work will be structured around three main tasks: Mathematical modelling of coupled THMC processes within a consistent
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focus on resonant acoustic mixing (RAM) - a relatively novel and increasingly important class of process equipment attracting growing industrial interest across multiple sectors. At its core, the project
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insights. Information Statistical modelling of multiple omics datasets is a lively and rapidly developing research area. Ongoing technological advances make it possible to measure multiple biological data
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framework provides a unified formulation of physical processes across multiple scales. The research work will be structured around three main tasks: Mathematical modelling of coupled THMC processes within a
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are planned for participation in several international conferences). Expected skills Knowledge and technical skills: • Master's degree (or engineering degree) in Evolutionary Biology, Ecological Modeling
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize