107 parallel-and-distributed-computing positions at University of London in United Kingdom
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to the set-up and conduct of a funded research project aiming to co-create a national weight management programme in Thailand. The duties of the post will involve coordinating and writing ethical approval
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to improve people's health in developing countries by striving for excellence in research, healthcare, and training. Our research program spans basic scientific research, clinical studies, epidemiological
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About the Role To provide professional support for all UG students in the School of Economics and Finance, and to provide programme management support for the portfolio of UG programmes. The post
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About the Role Applications are sought for a fixed term (end date 31 May 2026) Zebrafish Laboratory Technician to support the ongoing work in zebrafish behavioural science in Caroline Brennan’s laboratory at QMUL The post holder will: Provide specific technical support for experiments in...
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the education and research strategy of the Institute. The successful candidates will support the delivery of the existing Critical Care Medicine PGT programme offered through WHRI, as well as developing and
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in bioinformatics, statistics, epidemiology, or a relevant field such as computer science, operational research or a related quantitative field. You will have excellent data management skills as
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About the Role This role will involve undertaking the evaluation of a digital social intervention in primary care in England. A summary of the programme grant is found here. The individual will be
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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, including degree and executive education programme invoicing, credit collection, and student loan management. You will report to the Associate Director, Finance Shared Services, and support the wider Finance
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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