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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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offers the chance to work with zebrafish disease models, explore new therapeutic targets, and gain invaluable experience in experimental techniques such as CRISPR gene editing, in vivo imaging, and
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The Faculty wishes to recruit a Graduate Research Assistant or Postdoctoral research fellow at 50% FTE to support the work of Dr Emma Cockcroft and to join a funded ESRC Impact Acceleration Account
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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Linguistics and NLP, Educational Technology, or a related discipline; (b) preferably have at least two years of postdoctoral research experience; (c) have existing GenAI tool(s) or app(s) developed by
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. Maintain and update specialist knowledge by critically appraising relevant literature in urban resilience, infrastructure systems, or data-driven modeling. Actively participate within the research group
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evasion thus supporting bacterial pathogenesis. We will characterise the antibacterial and anti-host activities of the T6SS and selected effectors using in vitro and in vivo models, deletion mutants and
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evasion thus supporting bacterial pathogenesis. We will characterise the antibacterial and anti-host activities of the T6SS and selected effectors using in vitro and in vivo models, deletion mutants and