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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider
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working to study the neutralisation capacity of human anti-IL10 autoantibodies, to understand the pathophysiology of mechanisms that break tolerance such as virus infections and to study treatments
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to secure future computing systems at lower costs and performance overheads. About you You should possess a PhD/DPhil in Engineering, Computer Science or other related field, (with the possibility
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. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop the methodology and experimental
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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition
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the molecular mechanisms underlying disease progression and treatment resistance and identify novel therapeutic targets. You will take a lead on development of computational approaches to integrate multi-omics