129 parallel-computing-numerical-methods positions at University of London in United Kingdom
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Research Council’s (AHRC) Bridging Responsibilities AI Divides (BRAID) programme that will explore new technologies, new business models and new approaches to data provenance in pursuit of an equitable
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science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop
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for an experienced leader to play a key role in delivering our new Transformation Programme. You will play a leading role overseeing our exciting programme of activity, working closely with the Senior Leadership Team
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Array Observatory. The Astronomy Group specifically focuses on applying advanced Artificial Intelligence (AI) methods to astrophysical research. As a result, we actively collaborate with experts in
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understanding of cleaning methods and technique. Further particulars are included in the job description. The post is part-time, 10 hours per week and permanent. Exact working hours will be confirmed at the time
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addressed to jobs@lshtm.ac.uk . A short (500 words) planetary health related research proposal including appropriate methods and outcomes and feasible in a 2-year timeline, are to be submitted alongside your
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prepare papers, support checking quality assurance information, work methodically, follow set processes and procedures and have a high level of attention to detail and accuracy. A pro-active, flexible
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for Knowledge and understanding of the region and higher education. Extensive awareness of the activities of the organisation and competitor business schools. Excellent numerical skills with the ability
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clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative evaluation, policy analysis and qualitative studies, and teams from a wide range of disciplines
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– a £43.6M national programme co-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing