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for maximum performance per watt. You will investigate how configurable and customizable processing technologies can be leveraged to create fundamentally more energy-efficient Computational Fluid Dynamics
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needs, such as assisting the team with evaluating evolutionary algorithms for exploring creative new hand designs, or reinforcement learning for policy optimisation, all within a huge GPU-based simulation
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