74 web-developer-university-of-liverpool research jobs at University of London in United Kingdom
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epidermolysis bullosa disease pathogenesis. Other collaborators include Dr Maria Maiarù at University of Reading and Dr Margarita Calvo at Pontificia Universidad Catolica de Chile. The Sensory Neurophysiology
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working
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population health, the Faculty is ranked 2nd in the 2021 QS World University rankings for research citations and consistently positioned first in London for subject rankings and student satisfaction. About
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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the training dynamics. This project seeks to establish a mathematical framework for closing this loop by quantitatively measuring and analysing the evolution of neural networks during training. We will explore
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multidisciplinary collaboration between LSHTM, the Met Office, Oxford Brookes University, UCL, University of Exeter and University of Leeds that will inform the development of solutions for temperature-related health
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-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving
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and Immigration website . Full-Time, Fixed-Term (2 years) Applications are invited for a Postdoctoral Fellowship in Modern Greek Studies at Royal Holloway, University of London. The successful candidate
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing