34 algorithm-development Postdoctoral positions at University of London in United Kingdom
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scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies
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(MOCVD). The primary aim is to develop energy-efficient 2D materials that can significantly reduce the power consumption of next-generation electronic devices, supporting the UK’s net zero goals and the
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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 interlinked risks of climate change, coastal flooding and erosion, and the UK’s historic waste legacy due to coastal landfills to develop coastal community and ecosystem resilience. The new PDRA position will
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About the Role Applications are sought for an exciting opportunity within the Ciccarelli lab, within the Centre for Cancer Evolution, Barts Cancer Institute. We are seeking an independent, highly
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are seeking an ambitious individual to develop, drive and deliver their research project, while working with other members of the Ilangovan group and our collaborators on a regular basis. Candidates must have a
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Action on Salt and Obesity (RASO) Unit based within the Centre for Public Health and Policy, which works nationally and internationally to develop, implement, and evaluate evidence-based public health
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ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment
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SPACE Group (Spatial Prostate Assessment and the Circulating Environment) is newly established at Barts Cancer Institute (BCI), Centre for Cancer Evolution, after 6 years in Oxford. You will have
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-tumour heterogeneity, clonal evolution, biomarkers of response and resistance to therapies and developing methodologies to study lymphoma cell populations (Okosun et al, 2014; 2016, Nature Genetics; Araf