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joint homeostasis. The successful candidate will work in close association with other lab-based scientists and computational biologists in the Croft lab as well as collaborators in Great Ormond Street
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recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC CMM researchers with drug discovery experts and scientists from
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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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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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research in Malawi through the Malawi-Liverpool-Wellcome (MLW) Programme, as well as other LSTM hubs and research collaborations that together offer world-class clinical infrastructure, established
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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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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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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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Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with potential
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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