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. The postholders will support ongoing research that aims to unravel the molecular architecture of the chloroplast’s beta-barrel protein assembly machinery using structural tools. One of the posts will be focusing
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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition
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available data and apply causal inference methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease
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with an interest in viral RNA-dependent RNA polymerases and its role in transcribing and replicating the viral RNA genome, as well as on the molecular mechanisms involved in the nuclear import, export
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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
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mechanisms by which co-inhibitory receptors, including PD-1, BTLA, TIGIT, and CD200R, regulate T cell function in autoimmune settings. Despite sharing common downstream signalling components such as SHP1 and
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the molecular mechanisms underlying disease progression and treatment resistance and identify novel therapeutic targets. You will take a lead on development of computational approaches to integrate multi-omics
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. Keith Channon – a 5 year renewable award that underpins the work of the group. You will lead a programme of research in the molecular mechanisms of cardiovascular disease, that may include a range of
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advanced spectroscopic and structural techniques, this postdoctoral project will establish clear correlations and mechanisms linking core properties critical to efficient light-harvesting with basic material
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therapies. This role offers a unique opportunity to investigate the mechanisms of therapeutic resistance in glioblastoma and contribute to the development of more effective treatment strategies. Our research