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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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of pediatric brain tumours (Vinel et al BMC Biology 2025, Constantinou et al Cell Reports 2024 and Vinel et al. Nature Communications 2021) to develop new personalised therapies. About You We seek an ambitious
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interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
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support projects using GWAS, Mendelian Randomisation, and polygenic risk score analysis to uncover genetic mechanisms underlying complex traits. There are opportunities to integrate omics data across
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Vitro Models. The project aims to use organ-on-a-chip technology combined with bioengineering approaches to develop, validate and use a suite of vascularised human tendon-chip models. These high quality
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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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View All Vacancies Pathobiology & Population Sciences Location: Hawkshead (nr Potters Bar, Herts) Salary: £40,528 to £51,470 Per Annum Including London Weighting Fixed Term / Full Time Closing Date
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About the Role We are recruiting for an 18-month postdoctoral position as a part of an MRC funded project. This position will focus on investigating bacterial and host factors influencing early interaction of Mycobacterium tuberculosis with macrophages to explore targets for anti-virulence...
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close to completion) in Materials Science, Physics, Chemistry, Nanotechnology, Electrical Engineering, or a closely related field, with a strong background in the synthesis and characterisation of 2D
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About the Role We are looking for a Postdoctoral Research Assistant to work with Dr Chema Martin on a Human Frontiers Science Program Research Grant project entitled “Evolutionary Biophysics