17 parallel-and-distributed-computing Postdoctoral positions at University of London in United Kingdom
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About the Role We have an opportunity for either a Post Doctoral Research Associate or Computational Biologist* to join the dynamic lab of Dr Inês Sequeira (https://www.sequeira.science/ ), who co
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, policymakers etc) to develop a critique of the drivers and negative externalities of industrial animal agriculture. The CRILS Network Post Doctoral Research Fellow /Programme Manager will deliver online and in
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motivated computational Postdoctoral Research Assistant to lead on an established and successful research line aimed at understanding the genetic events that drive cancer evolution. We have a long-lasting
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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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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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week. About the Project Genes & Health is a long-term research programme, studying health and disease in British Bangladeshi and Pakistani people (n=67,000) with research-ready multi-source health and
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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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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