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full-stack approach to suppressing errors in quantum hardware. This research focuses on achieving practical quantum computation by integrating techniques ranging from hardware-level noise suppression
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was established in 1831 and has played an integral role in the life of King's since the university was formed almost 200 years ago. King’s has been in service to society since its foundation and we’re proud
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the opportunity to deliver tangible impact by integrating academic innovation with industrial challenges. This is an exciting opportunity for a researcher with expertise in power systems, optimisation, or AI
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of the project will be to develop trajectories of dietary change towards healthier and more sustainable diets with a particular attention to alternative protein sources, and to integrate environmental, health, and
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of the project will be to develop trajectories of dietary change towards healthier and more sustainable diets with a particular attention to alternative protein sources, and to integrate environmental, health, and
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to understand immune microenvironmental interactions; Integration and interpretation of complex datasets in collaboration with computational scientists You will be expected to take a lead in experimental design
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) Evidence of working together with industry partners and collaborators, aligning work with business needs Experience in design and operation and integration of mechanical systems, preferably fluidic systems
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stimulation and neuroimaging, specifically (f)MRI and MRS on the Oxford Centre for Integrative Neuroimaging’s Siemens scanners. We are looking to appoint a highly-motivated candidate with an excellent academic
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focused on integrating synthetic biology, AI, and multi-omics technologies to decode and design gene expression regulation for human cell engineering. This role is based in Randall Centre for Cell
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original research on the grid integration of second life battery storage systems. The research will bring together second-life battery modelling, power system optimisation and technoeconomic evaluation