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Science, Robotics, AI, or a related field Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human-centred AI
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Science, Robotics, AI, or a related field 2. Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human
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/or their active counterparts. • To perform direct numerical simulations of the continuum partial differential equations of fluid dynamics, solid mechanics, soft matter or active matter
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temporal properties: ultrabroadband supercontinua, intense sub-cycle field transients, and few-femtosecond ultraviolet pulses, among many others. We combine numerical modelling with experiments to study the
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plan to use these data to identify the virus and make inferences about potential human infection and transmission. This will involve analysis of viral evolution, simulation of potential scenarios and
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(ii) an application focus in radio astronomy or magnetic resonance imaging, including both simulation and real data processing expertise. Competence in specific algorithmic approaches such as plug-and