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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
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About the Role We are looking for a Senior Computational Biologist to join the ERC-Synergy funded MUTAHOME project, a multi-institutional collaboration between Queen Mary University of London and
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. Experience with electronic data capture systems for clinical diseases (including Redcap) is required. Working in collaborative, multi-disciplinary environments is highly desirable. You should possess excellent
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International Centre for Eye Health - a dynamic and innovative research and education group with an extensive global network of public health collaborators, within the Department of Clinical Research. They will
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Nursing Allowance Fixed Term / Part Time Closing Date: Open Until Filled Reference: CSS-SPEC-0261-25 We currently have a unique opportunity for a RVN within our Emergency & Critical Care team! Our multi
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About the Role Queen Mary University of London working with Barts Health NHS trust designs to improve service delivery of Hepato-pancreatico-biliary (HPB) multi-disciplinary team (MDT) meeting and
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! Our multi-disciplinary hospital accepts a range of referral and first opinion cases. As part of our Emergency and Critical Care team you will be working alongside our friendly and experienced RVNs
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, Diversity, and Environmental Sustainability at the heart of all we do: from our team culture to the research programmes we run, to how we collaborate with partners. Our Lab will include dedicated Stage and
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, collaborative, multi-disciplinary research team, led by Dr Anna De Simoni and Prof Chris Griffiths from the Centre for Primary Care, with collaborators from QMUL School of Business and Management, QMUL Centre
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research networks such as the Centre of Data and Statistical Science for Health (DASH) (https://www.lshtm.ac.uk/dash ) and the Multi-City Multi-Country Collaborative Research Network (https