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the accuracy of thermo-hydraulic and reduced-resolution models using insights from DNS results. Exploring strategies of flow control to enhance heat transfer efficiency. The successful candidate will collaborate
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Within energy from waste (EfW) plant, non-recyclable waste is combusted to extract useable heat to create electricity. This process has two major benefits: 1, electricity is generated from a source
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metrics during both standard operation (primarily governed by system reliability) and extreme events (primarily governed by robustness and restoration). This will be achieved by building on previous
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nature conservation priority. Dune slacks are seasonally flooded, and the extent, depth and duration of this flooding is a key control over their ecology. Understanding the dynamics of this flooding is
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health factors. Background: Fertility is a global-level multifaceted health problem where infertility and birth control are pressing concerns. WHO figures indicate that 1 in 6 people globally suffer from
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workspaces under positional restrictions. Develop smart control algorithms that will allow the robotics end-effectors to communicate with the central control system and coordinate tasks with other end
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successes and proposes intelligent sensing and control solutions for automated robotic systems capable to be tele-operated using smart human-machine interfaces. This is an exciting PhD project that has a
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with important isogenic controls. The Department is situated in the Maurice Wohl Clinical Neuroscience Institute at the Denmark Hill Campus of King’s College London. We have access to a state-of-the-art
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. • Exploring strategies of flow control to enhance heat transfer efficiency. The successful candidate will collaborate closely with a multidisciplinary team at SLB Cambridge Research (SCR), part of SLB’s global
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of the project is to optimise the hardware for the control of plasma in an atomic layer deposition chamber using various computational modelling approaches. This will require a hybrid fluid/particle model, which