23 computer-science-physics Postdoctoral positions at University of London in United Kingdom
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About the Role Applications are invited for one Postdoctoral Research Associate with expertise in structural biology to join the research group of Aravindan Ilangovan at Queen Mary University
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About the Role The purpose of this role is to provide qualitative and quantitative research support for a research and impact programme on food reformulation. This role sits within the Research and
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collaborative and interdisciplinary and the ability to work in a team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent
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About the role Queen Mary University of London (QMUL) is seeking to appoint a PDRA to investigate how evidence shapes the environmental policy making process as part of a £3m transdisciplinary, UKRI
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developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from childhood into adulthood. The role involves working
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
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-purposing. This role is a fantastic opportunity for someone passionate about leading innovative research and making impactful contributions to the field of computational biology. You will hold a PhD (or close
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Computer Science as part of Royal Holloway’s Centre for AI. Royal Holloway offers an extensive rewards and benefits package including generous annual leave as well as a wide variety of training and development
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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
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Research Council’s (AHRC) Bridging Responsibilities AI Divides (BRAID) programme that will explore new technologies, new business models and new approaches to data provenance in pursuit of an equitable