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Field
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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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regarded as being cyber-physical systems, as they are controlled by digital networks and depend upon software and digital communication systems. The reliance on cyber-physical components is growing as
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structures. This highly interdisciplinary project combines mechanical engineering, materials science, and control systems, and will require both numerical simulation and experimental validation. The outcomes
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be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering) under the co-supervision of Professor Balarko Chaudhuri and Professor
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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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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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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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improve surgical workflow, shortens surgery time, enables unrestricted movement tracking, and reduces infection risks. Eliminating markers enables robot-assisted or fully automated femoral implantation
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-DPH-2025-13. The supporting
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. They are integral components of oligonucleotides (DNA and RNA) that encode the proteins required to control biological processes. Nucleosides are also omnipresent within enzyme cofactors (NAD+/H), as cellular energy