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products (e.g. transcripts and proteins) and imaging analysis. The roles of relevant parasite genes and pathways are investigated using gene expression perturbation approaches, such as RNA interference and
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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that can validate those models are missing. This projects will address all, or some, of these challenges. We are looking for a postdoc to drive the development of an in-depth understanding of transport in
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vitro and cell-based approaches. In this endeavour the position is for a Postdoc with expertise in cell signalling pathways, protein biochemistry and in vitro cell biology. You will be responsible
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biological, and live cell fluorescence imaging experiments. Associated structural analysis of the proteins by cryo-electron microscopy will be undertaken via collaboration with other workers. This full-time
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will involve processing medical image data sets, taking experimental measurements of movement patterns in living birds and conducting dynamic physics simulations of locomotion in both living birds and
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, calcium imaging, optogenetics and/or behavioural methods. The project is part of a broader research programme designed to use cross-species research to uncover mechanisms for memory in both health and
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activities, and adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and developing new ones. Other responsibilities will include analysing quantitative imaging
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on the creation of an online platform which will house born-digital editions of papyri and related material in Greek, Latin, Demotic and Coptic, as well as images and 3D reconstructions of relevant artefacts. You
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on the creation of an online platform which will house born-digital editions of papyri and related material in Greek, Latin, Demotic and Coptic, as well as images and 3D reconstructions of relevant artefacts. You