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the project and the Programme team Contribute to writing bids for research funding Contribute to Departmental/School research-related activities and research-related administration Contribute to enterprise
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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Sapey, provides robust support for projects involving big data and Artificial Intelligence (AI), including Natural Language Processing, Computer Vision, Machine Learning, and Deep Learning. The team’s
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excited to dive into the world of computational genomics? Join our team to work at the interface of cutting-edge wet lab techniques and data-driven discovery. This position is ideal for a candidate with a
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Benefits Competitive salary 40.5 days annual leave including bank holidays (FTE) Defined contribution pension scheme Free life assurance scheme Employee Assistance Programme Interest free season ticket loans
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from you. Our QPS vacancies will primarily support the following areas: Organ and Tissue Donation and Transplantation, supporting the Assessment and Recovery Centre (ARC) Programme. NHSBT aims to be
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the Department of Inflammation and Ageing at the University of Birmingham. The successful candidate will work to deliver high level computational analysis of immune cell subsets in patients with cutaneous lupus
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essential. You will join Dr Anne Bertolotti’s pioneering research programme, which focuses on innovative approaches to rescue cells from protein misfolding, a condition at the origin of many human diseases