38 web-developer-university-of-liverpool Postdoctoral positions at University of London
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Square Campus in the City of London and within the world-renowned William Harvey Research Institute at Barts and The London School of Medicine, Queen Mary University of London (QMUL). The appointed person
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About the Role The ATLAS L1Calo/Global upgrade project is primarily a firmware development based on a common multipurpose hardware module. It requires a lot of software development in a wide range
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, and ethical working. How to Apply In addition to the application form, please prepare your application as a single PDF document containing a research statement (detailing previous achievements and
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of pediatric brain tumours (Vinel et al BMC Biology 2025, Constantinou et al Cell Reports 2024 and Vinel et al. Nature Communications 2021) to develop new personalised therapies. About You We seek an ambitious
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About the Role This new post will be at the forefront of interdisciplinary medical research contributing to the design-led development and evaluation of patient-centred risk-communication tools
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University Research Fellowship of Dr Andrew Winter. The overarching goal of this project is to establish the connections between the properties of exoplanets and the large-scale star formation environment
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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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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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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