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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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with a research component, or those with strong research skills, including qualitative research, and knowledge of the social environment of healthcare. In either case, the PhD will benefit from the high
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students and post-doctoral researchers using high performance computing to advance understanding of high-speed aerodynamics. Over the past decade we have developed efficient open-source software that enables
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performance of advanced electrode materials in bioelectronics, supercapacitors, and other energy storage technologies. Optimise the 4D-printed structures for long-term stability and high-power density in
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This project provides an excellent opportunity to develop state-of-the-art mathematical models and computational tools of emerging respiratory pathogens, within a world-renowned research group
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induction programme will be delivered to all new appointees. Key Duties and Responsibilities Conduct and manage research and related administrative activities, with guidance as required, ensuring that project
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with a research component, or those with strong research skills, including qualitative research, and knowledge of the social environment of healthcare. In either case, the PhD will benefit from the high
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Partnership in collaboration with Hitachi Europe Ltd, developing engineered proteins for carbon upcycling and sustainability. The role holder will collaborate with computational and biological scientists
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triboelectric nanogenerator (TENG) to sustainably power ingestible medical devices. The aim is to harness mechanical energy from natural intestinal peristalsis to enable battery-free operation of autonomous
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a closely related field. A strong background in quantum mechanics, solid-state physics, and computational modeling. Previous experience with density functional theory or many-body physics (beneficial