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LLM construction and training processes, AI system architecture design, development, deployment, testing, and integration. Experience in cloud/edge-computing technologies for developing and deploying
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team of seven investigators at Royal Holloway, where this post will be based, and RHUL/NPL joint PhD students. Royal Holloway is a partner in the Oxford-led QCI3 Quantum Hub. We are collaborating with
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team of seven investigators at Royal Holloway, where this post will be based, and RHUL/NPL joint PhD students. Royal Holloway is a partner in the Oxford-led QCI3 Quantum Hub. We are collaborating with
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environment, home to around 450 staff, 100 PhD students and 500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and aims to be
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Grade 4, in the range of £41,510 - £43,677 per annum (pro-rata), inclusive of London Allowance. About You The position is open to early-career researchers who have completed a PhD within the last three
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analytic codes to investigate the benefits and harms of medications. Candidates must have a doctoral degree (or be within 3 months of anticipated completion of a PhD) in medical statistics or epidemiology
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are part of a programme of work in the newly established Queen Mary and Barts Health Tuberculosis Centre, led by an internationally respected group of clinicians and researchers. About You We are recruiting
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computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational
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imaging platforms and computer programming. The successful applicant will have an MSc or postgraduate degree in a relevant topic, relevant experience in AI-based imaging platforms and computer programming
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excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking to appoint a Research Fellow to join an exciting research programme exploring