25 parallel-computing-numerical-methods Postdoctoral positions at University of London
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detection of disease using light (referred to as a non-ionising radiation technology) in association with fast computational methods and artificial intelligence (AI) to reconstruct images. This will be
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Division), and the International Livestock Research Institute in Kenya. About the role The post-holder will lead the development of new computational and statistical approaches for inferring epidemiological
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About the Role This role will involve undertaking the evaluation of a digital social intervention in primary care in England. A summary of the programme grant is found here. The individual will be
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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-of-the-art computing facilities and collaborate with experienced Co-Is at Royal Holloway’s Computer Science Department and UCL’s Advanced Research Computing Centre as well as Project Partners
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London, collecting data using mixed methods, organising a feasibility study in primary dental care practices, analysing data, and disseminating findings. About You Candidates should have a PhD in dental
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holder will use state-of-the-art omics methods and experimentation to dissect how microbiome assembly processes shape host resistance to the deadly fungal pathogen Batrachochytrium dendrobatidis (Bd
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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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About the Role The purpose this post is to support the evaluation of a social needs screening programme in East London, development of Living Maps of What Works to address inequalities in primary
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. The individual will have responsibility for developing computational aspects of the SPACE study (#SPACE_Study ) centred on use of Visium spatial transcriptomics to interrogate the spatial and evolutionary