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, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a
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, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a
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About the Role We are looking for a Senior Computational Biologist to join the ERC-Synergy funded MUTAHOME project, a multi-institutional collaboration between Queen Mary University of London and
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— professional services staff, academics and researchers, and students — and will help design the framework and baseline evidence that underpin a multi-year research programme on AI adoption at the University
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(TASC) program of the ARC Industrial Transformation Research Hub for Intelligent Contaminant-Sensing in Complex Environments (IC-SensE). The TASCprogram explores consumer and workforce adoption of sensor
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About us The Division of Biosciences at UCL is one of the world's foremost centres for research and teaching in the biological sciences. You will join the Computational Cancer Biology Group led by
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pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more Our commitment to Equality, Diversity
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About us The UCL School of Management is home to UCL’s business and management research and education programmes. The School has forged a reputation for world-leading research and teaching in
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); experience with cloud computing platforms (e.g., AWS, GCP, Terra) is a plus · Experience developing and training deep learning models, ideally with fluency in PyTorch or an equivalent framework, is a
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assistance programme) Discounted medical insurance Full details: UCL Rewards and Benefits London’s Global University, we know diversity fosters creativity and innovation. We are committed to equality