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, activation, and effector functions in preclinical models of autoimmunity. This research is part of a broader effort to define how inhibitory receptors tune T-cell responses in health and disease, ultimately
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, contributing £50B to GDP and direct employment for >300,000 people in 12,000 companies. This project will collaborate with the REWIRE IKC (Innovation and Knowledge Centre: Transforming Net Zero with Ultrawide
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biotechnology, design, and engineering across Northumbria, Oxford, and Imperial, as well as start-ups and SME collaborators who are already bringing novel materials to market. Applicants should hold a PhD, or be
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depending on funding. The Oxford Ion Trap Quantum Computing group currently hosts one of the world’s highest performance networked quantum computing demonstrators, capable of remote Bell-pair production
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and accelerating the development of next-generation inorganic and hybrid crystalline semiconductors for the net-zero carbon transition. Materials explored will expand from an initial selection
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
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candidate will hold a PhD in physics, biophysics, physical chemistry, engineering, or a related area, or have submitted a PhD thesis prior to taking up the appointment. The research requires strong interest
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity