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aid in environmental monitoring and pollution control. The outcomes will shape into practical guidelines and recommendations for policymakers and engineers to support adoption of the new designs in
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Supervisors Primary Supervisor - Dr Calum Williams Secondary Supervisors - Dr. Maciej Dabrowski , Prof Simon Horsley This PhD studentship will develop 3D-printed optical metamaterials to control
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undertaken in the NHS require a few days stay in hospital. However, it is possible to discharge some patients on the same day as their operation. We are preparing for a large randomised controlled trial by
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exchange energy at such rapid rate that they blend together to form hybrid states at room temperature (strong coupling regime). We recently shown that one can control the quantum state and interaction
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easier to detect and measured experimentally. However, it is not well known yet how this process emerges and how one can control it. This PhD project will focus on developing the necessary theoretical
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explore ways to control their motion in 3D space. Synthetic microswimmers have many potential biomedical applications, including targeted drug delivery and non-invasive medical treatments. The swimmers
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modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
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understanding of plasmid regulation and its role in controlling plasmid spread and pollutant bioremediation in complex microbial communities. Plasmid regulatory genes are widespread among divergent plasmids in a
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. Entry requirements: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Mechanical Engineering, Electrical Engineering, Mechatronics and Control Engineering
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(PBs) offer a promising alternative, reducing wave energy through dissipation and controlled overtopping, potentially mitigating flood risk while minimising environmental impact (Nimma & Srineash 2025