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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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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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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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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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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