58 Engineering-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Imperial College London
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outputs for catalysis design that can influence both academia and real-world software engineering practice. The project offers a unique opportunity to work on cutting-edge problems around the use of AI
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, the ability to engineer the genome of mitochondria, the energy-producing compartments inside our cells. Mitochondria carry their own small genome, and reliably installing new, synthetic genetic material inside
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alongside all team members from both groups. In this role, you will: Design, engineer and characterise Nanoparticle conjugated to Peptide Nucleic Acids (or PNAs); Technically and clinically validate an assay
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Imperial College London is a world-leading university that focuses exclusively on science, engineering, medicine, and business, and is consistently ranked among the top 10 universities globally
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of breakthrough technologies at the intersection of healthcare and robotics. Hosted at Imperial College London-one of the world’s leading universities in science, engineering, and medicine-CDL-London is part of a
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this complements other established research activities within the Department. Example topics include world-leading programmes in simulation science, surgical technology, surgical education, medical robotics, new
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experience is desirable. Imperial College London is a world‑leading science and technology institution, where partnership and collaboration are central to addressing global challenges. This role offers a
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interested in researchers addressing questions in ecology, evolution, or environmental science that interface with areas such as: Engineering, including sensing, automation, and robotics AI and computing
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of technology in education. You must be a team player with the proven ability to use your own initiative and work with minimal supervision. You will need to demonstrate a pro-active, positive attitude and the
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ecology, evolution, or environmental science that interface with areas such as: Engineering, including sensing, automation, and robotics AI and computing Digital collections and biodiversity informatics The