28 algorithm-development-"LIST"-"Meta" Postdoctoral positions at University of London
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
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the objectives and development of the research programme on the Oncogenic and Immunogenic Roles of Transposable Elements in Cancer. The appointed PDRA will be integrated into a multidisciplinary team and will
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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About the Role This new post will be at the forefront of interdisciplinary medical research contributing to the design-led development and evaluation of patient-centred risk-communication tools
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About the Role We are seeking a postdoctoral research assistant to join the group of Dr Mirjana Efremova in the Centre for Cancer Evolution, to work on a CRUK funded project to investigate the role
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the training dynamics. This project seeks to establish a mathematical framework for closing this loop by quantitatively measuring and analysing the evolution of neural networks during training. We will explore
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work
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annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we have a range of work-life
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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