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range of techniques, including mass spectrometry and flow cytometry analyses, state-of-the-art imaging techniques (e.g. super-resolution, confocal, electron microscopy), and cells expressing tagged
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) facilities, which includes systems administration of the Digital Imaging Laboratory (DIL), staff workstations and PC attached to instruments. The NXCT (https://nxct.ac.uk/ ) is a National Research Facility
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, which you will lead, under the supervision of Prof David Wedge. Collectively, the team has expertise in the analysis of multilevel omic and imaging data; data integration and machine learning; and risk
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general administration support for Proj Frangi’s portfolio of grants . The post will be based in the Department of Computer Science and also involve working with the Division of Informatics, Imaging & Data
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biology, biochemistry, imaging and data analysis skills and will have the opportunity to attend conferences and present their data. What you will get in return: Fantastic market leading Pension scheme
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collected histological images can serve as a cost-effective proxy for expensive spatial molecular profiling in brain tumour. The post-holder will contribute to the development of multimodal machine learning
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fluorescence microscopy, polydimethylsiloxane microfluidics and image analysis, and that you have a substantial experience in running custom R codes and operating JMP software. What you will get in return
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team aiming to understand the biology and peritoneal metastasis of high grade serous ovarian cancer (HGSOC). We will combine cutting edge imaging approaches with mass spectrometry-based proteomics
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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processes that can be targeted to develop new treatments against brain tumours that form in individuals with the rare disease NF2 schwannomatosis. The successful candidate will join the lab of Prof. Kevin