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for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a Bayesian modelling framework to identify clusters
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Applications are invited for a PhD studentship on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier
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of the CDT in Process Industries: Net Zero . The successful PhD student will be co-supervised by academics from the Process Intensification Group at Newcastle University. Established in 1925, Croda is
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Short overview of PhD opportunity The PhD studentship aims at studying and developing more comprehensive user interfaces for computer-aided decision-making processes, which can benefit from 3D/360
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representatives to drive meaningful change for the citizens of Wakefield. We would like to support a PhD candidate to undertake research in the following areas: Evaluating and understanding the process and outcomes
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, BFLOAT16, TensorFloat-32, and a number of other custom fewer-than-32-bit formats. At present, there is no widely-adopted standard that systematises low-precision computer arithmetic, and two hardware vendors
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, to demonstrate “process intensification” and rapid, scalable process development/optimisation. Previous work in the area by the Process Intensification Group has demonstrated that many batch processes can be made
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successful, the increasing demand for biochar and its by-products in high-value applications necessitates a thorough examination of the existing process and products to optimize efficiency and enhance overall
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materials and energy-intensive manufacturing processes. These machines dominate current electric powertrain solutions but pose challenges in terms of resource supply chain, recyclability, and embedded carbon
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This PhD project aims to advance Safe and Sustainable by Design (SSbD) pharmaceutical manufacturing by integrating cutting-edge methodologies, including computer-assisted retrosynthesis, end-to-end