31 software-verification-computer-science Postdoctoral positions at University of London
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About the Role The post is based in the Trauma Sciences Research team within the Centre for Neuroscience, Surgery and Trauma. The Trauma Sciences research team (www.c4ts.qmul.ac.uk) provides
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View All Vacancies Comparative Biomedical Sciences Location: Camden (King's Cross, London) Salary: £39,969 to £50,760 Per Annum Including London Weighting Fixed Term / Full Time Closing Date: 23.59
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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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desirable if the post holder has experience in the development of production-quality software, computational Bayesian inference, and strong communication skills. For more information see the detailed job
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to phenotypic and/or genetic data, experience working with statistical software like R or plink, evidence of published research, excellent management and organisational skills, experience of working effectively
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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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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computational methods (Efremova et al. Nature Protocols, 2020; Jain et al., Genome Biology). About You PhD in a biological or computational subject and background in working with genomics data. About the School
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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
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and