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: Full Time (37.5 hours per week) About the role The Ranes lab are seeking a talented Postdoctoral Research Associate to investigate the molecular mechanisms driving the Wnt/beta-catenin signalling pathway
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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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functional properties and mechanisms of human Induced Pluripotent Stem Cell (iPSC) derived cortical neuronal networks in cortical organoids and planar cultures. Techniques used will include
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This project focuses on understanding the molecular mechanisms by which co-inhibitory receptors, including PD-1, BTLA, TIGIT, and CD200R, regulate T cell function in autoimmune settings. Despite sharing common
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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 spread of pathogenicity genes between microbes and can therefore drive the emergence of novel diseases. In pathogenic fungi, an emerging global threat to both humans and our crops, the mechanisms
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researcher to investigate the neural mechanisms underlying decision-making, using the fruit fly Drosophila melanogaster as a model system. Funded by the BBSRC, this project will combine innovative behavioural
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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of Spiralian Asymmetric Cell Divisions”. This research position will reveal the mechanisms that drive the evolution of polar lobes during the first asymmetric cell divisions in animals with spiral cleavage. We
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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