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models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
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including team working and a collegiate approach. C5. Excellent communication skills (oral and written), including public presentation and the ability to communicate complex concepts clearly and concisely. C6
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of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to contribute to the development, optimisation and implementation of an automated workflow
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, or computational modelling. This post is based at the Department of Computer Science and on-site working is required. Remote and part-time working options must be agreed with Professor Nobuko Yoshida. What We Offer
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“Humber Geothermal Energy (HuGE) - from Model to Market” establishes a new partnership between the University of Hull (UoH), Consortium Drilling Limited (CDL), and Eden Geothermal Limited (EGL). This unique
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. • To develop and improve theoretical models of fluid dynamics, solid mechanics, soft matter or active matter. • To carry out analytical calculations in the context of theoretical models of fluid
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interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach
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guiding the development of advanced impact-resistant materials. The main purpose of this role is to develop multi-physics computational models and reveal liquid-solid impact damage mechanisms. The post will
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the Department of Chemistry, King’s College London. The research is directed towards the synthesis and characterisation of bimetallic complexes which mimic the structure and reactivity of the Acetyl Co-enzyme A
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly