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Field
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-pathogen signalling networks in macrophage infection models. You will work in the laboratory of Dr Dominic Byrne, and in collaboration with Claire Eyers from the Centre of Proteomic Research (CPR). You
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-pathogen signalling networks in macrophage infection models. You will work in the laboratory of Dr Dominic Byrne, and in collaboration with Claire Eyers from the Centre of Proteomic Research (CPR). You
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organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling
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team of Professor Holly Krieger and work on any aspect of algebraic, arithmetic or complex dynamics. The role holder will be expected to plan and manage their own research and administration, with
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and develop skills in the growth of cultured tissue, an area of growing academic and industrial interest Opportunities to develop skills in biophysical models of tissues and deep learning techniques Key
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candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities
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of mole activity and soil health and biodiversity, collecting data on visitor perceptions of moles and their management, and analysing findings using statistical modelling approaches. The role provides
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forefront of AI and ethics. The role focuses on innovative research into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. This is a 2
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technologies. Design and perform experiments using Solent University’s Engine Room Simulator to validate models and explore practical decarbonisation solutions. Produce technical reports, engage with industry
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of the continuum equations governing the mechanics of fluids and soft solids. Ability to design theoretical models and carry out appropriate analytical calculations to achieve the proposed objectives. Experience in