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applications for dissemination. Supervise and train students and lab members, contributing to a safe, well-resourced and collegial laboratory environment. You may be a great fit if you: Hold a PhD in visual
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process and interpret simulation data, develop the implementation of optimisation techniques and modelling approaches, and help identify the most receptive forcing modes in turbulent channel flow. Working
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of complex epidemiological and genetic data, in computational and population health sciences and in disease risk-modelling and risk-prediction. Eligibility criteria The project will suit students with strong
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the Unconventional Communications and Computing Laboratory (UC2), led by Dr Michael T. Barros, which develops modelling and algorithmic methods for networked communication and computation under real-world constraints