28 algorithm-development-"Prof"-"Prof" Postdoctoral positions at University of London in United Kingdom
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-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 life balance and family friendly
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of Spiralian Asymmetric Cell Divisions”. This research position will reveal the mechanisms that drive the evolution of polar lobes during the first asymmetric cell divisions in animals with spiral cleavage. We
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to our development and the success of our mission, as well as collaborating with key members of TOTAL OneTech, which will include regular visits to Pau (France) to present results. The aim of the research
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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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); Preparing manuscripts for publication in leading journals; Presenting findings at national and international conferences. The role offers outstanding opportunities for career development in a supportive and
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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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(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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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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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