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We are looking for someone with a PhD in relevant scientific discipline (e.g. Physics, Mechanical Engineering, Biomedical Engineering, Computer Science, Electronic Engineering, Robotics), a proven
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Fellow with expertise in secure cyber systems engineering to join our thriving and growing secure cyber systems research group. This role will give you the opportunity to work on exciting, innovative
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Primary Lymphoedema utilising a range of computational and statistical approaches. We are seeking a candidate with a background in computational biology and experience in the analysis of genetic data
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at the School of Cellular and Molecular Medicine, Biomedical Sciences Building, University of Bristol. The overarching aim of our group’s research programme is to develop a deeper understanding of the immunology
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(e.g. molecular biology, bioinformatics, artificial intelligence or statistics), with strong computational skills and experience working with genomic or large-scale biological datasets. Further
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Systems Engineering), along with excellent computing and programming skills in multiple languages and environments. You will also need a problem-solving ability to manage and analyse manufacturing datasets
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-centre study of individuals with pre-chronic lymphocytic leukaemia and the AI-REAL global health programme investigating EBV-positive Burkitt’s lymphoma. You will be responsible for supporting studies
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uncertainty. This post is fixed-term and part time (20hours per week) until 30 September 2026 You will hold a relevant Bachelors or Master’s degree in statistics, computer science, information engineering, or
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to the Department of Biology , and will be line managed by Lindsey Gillson (Biology) with mentorship from Guy Schofield (Archaeology), Marian Ursu (Arts & Creative Technologies), Christopher Lyon (Environment
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health programme investigating EBV-positive Burkitt’s lymphoma. You will be responsible for supporting studies on cancer vaccine development using in vivo and in vitro techniques and supporting projects in