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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
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scholarship and heritage sector practice relating to wider histories of production and consumerism, sociability and embodiment, and global networks of exchange. This project will redefine carpet scholarship
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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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of comparative genomics and molecular evolution analyses to identify these targets. The project will make use of software developed in the Kelly group as well as other widely used software for biological sequence
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haematology, supported by world-class facilities, access to deeply phenotyped clinical cohorts, and a strong collaborative network. You will hold a relevant PhD/DPhil, together with relevant knowledge in normal
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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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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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Science, Engineering or a related scientific discipline. You will have knowledge and experience in wired computer networks, with a focus on low latency interconnect or related areas. Prior experience of python and C/C
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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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