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for a duration of 9 months. To apply, please complete an online application and upload a plain text copy of your CV and covering letter only. In your covering letter, you should evidence how you meet or
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approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism
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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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microscopy, as well as in developing approaches to track cell migration in the spleen in real time. Extensive experience with immunization and infection models is also essential. Experience in independently
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analytical modelling, health inequalities research, and evidence synthesis. By leveraging these diverse approaches, we strive to produce evidence-based research that strengthen public health and inform policy
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. Working closely with Janne Pott, a postdoctoral researcher in the group, the successful applicant will perform simulation studies as well as applied analyses of sex-differential and/or time-varying exposure
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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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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data to build hypothesis and test them in laboratory models. You will contribute ideas for new research projects, collaborate in the preparation of scientific reports and journal articles and act as a