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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
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profile development, combining method development, application to real-world problems, and collaboration with experimental groups. Your project will complement ongoing work by other members in the group
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in Mass Spectrometry and Structural Glycobiology to work under the supervision of Prof. Weston Struwe for a period of 24 months. The project, funded by the UKRI, centres on developing advanced methods
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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
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-of-the-art laboratories where engineers, scientists and healthcare experts work together to develop new medical technologies to solve some of the most urgent and challenging problems in healthcare. The Centre
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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by the EPSRC. The research will involve developing new controlled polymerization catalysts to deliver carbon dioxide-derived and bio-derived polymers. The catalysts, and processes, used to make
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noticeable and concealed anti-counterfeiting measures and technologies have been developed to combat counterfeiting. Perhaps the most well-known class of anti-counterfeiting labels are luminescent security
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, developing cutting-edge solutions for real-world challenges in financial services. You will lead and contribute to innovative research projects in machine learning, synthetic data, LLM orchestration, and RL