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Field
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- Stratification of Therapies through Adaptive Responses (CRC-STARS) is a CRUK strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced
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established research programmes. Excellent communication skills are essential, including the ability to write for publication, present research proposals and results, and represent the research group
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oriented team. In addition, a programmer and experimental laboratories are available to the working group for the preparation and implementation of research work. The tasks include scientific research and
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diagnosis of psychosis. The postdoctoral researcher will lead a research program focused on developing and testing the computational mechanisms of social inference, although will have plenty of scope, and
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Synchrotron XRD and/or optical spectroscopy. Possessing sufficient specialist knowledge in the discipline to work within established research programmes. Having the ability to work independently and manage your
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academic partners. The Role The postholder will contribute to the UKRI-funded Great British Chemicals (GBC) Hub, a seven-year national programme bringing together 10 UK universities, industry partners, and
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join the School of Advanced Study as we are at the start of a new strategic plan. The Digital Humanities Research Hub (DHRH) at SAS supports a variety of digital approaches to the Humanities across
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hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and vaccinology. Our research group under
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to