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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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vision-language (V-L) research. The framework to be developed will be leveraging existing pre-trained vision-language models to improve the performance of matching listings with existing products, and for
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vision-language (V-L) research. The framework to be developed will be leveraging existing pre-trained vision-language models to improve the performance of matching listings with existing products, and for
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funded by eBay which aims to create a framework to support vision-language (V-L) research. The framework to be developed will be leveraging existing pre-trained vision-language models to improve
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building in Children’s Social Care. The Researcher-in-Residence (RiR) will support the development of research activities in Social Care. The RIR model has its roots in knowledge mobilisation theory and
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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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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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. 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