240 algorithm-development-"St"-"St" positions at University of Cambridge in United Kingdom
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to deepen our understanding of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars-regenerative medicine, biomaterial
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) at the University of Cambridge. This role is part of a new and exciting initiative to develop the UK SKA Regional Centre, (UKSRC: www.uksrc.org ) for the Square Kilometre Array Observatory (SKAO: www.skao.int
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holder will work on a project to develop a 3D in vitro model of the gastrointestinal tract. Physiologically relevant, multi-cellular models of gut are necessary to accurately model disease. We propose
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of our approach is the innovation of novel methods to investigate genome function. For example, we have recently developed ways to map the binding of nucleic acid-interacting drugs and small molecules
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therapy (Simpson et al. in preparation*). When these local metabolic / immunologic changes happen during pancreatic cancer evolution remains unknown. More importantly, whether these spatial changes can be
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Ascl1 are important. We have undertaken a comprehensive discovery experiment to identify all the proteins that can physically interact with Ascl1, using a method we developed called RIME (Rapid
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target, since all known treatment resistance mechanisms are downstream of, and dependent on FOXA1. However, FOXA1 has been a difficult protein to study for technical reasons. We have developed a novel tool
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-day activities and to develop and implement an engagement and outreach strategy for the Cambridge Heritage Research Centre. The role will support the Director with strategic leadership while providing
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will be defined, decomposed and assessed through attention to artefacts and practices across a range of sectors and disciplines. Focusing on the automotive context, the project will develop a
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at Cambridge. The Fellow will work under the supervision of the Principal Investigator and Director of LISA, with a view to developing LISA's research capacity in spatial analysis of housing inequality