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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
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consenting patients into the Oxford Gastrointestinal (GI) Cohort and collecting samples from endoscopy, surgery and clinics, within the gastroenterology department. You will be responsible for collating
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, combined with biophysical and biochemical characterisation, and cellular imaging using state-of-the art tools and resources. This post provides an outstanding training opportunity for candidates seeking
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preparation, imaging modalities and settings, data processing, as well as image analysis and data presentation. You will lead in the development of bespoke analysis pipelines and train users in the independent
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certification in data science, machine learning, or analytics, expertise in immunohistochemistry and digital imaging techniques. Previous experience working in a molecular or biochemistry laboratory and/or prior
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silicon facility in central Oxford, working on radiation imaging silicon detectors, primarily for Particle Physics, such as the ATLAS experiment at CERN. This will involve managing the interconnect work
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experimental work, particularly conducting single-cell transcriptomics experiments, assisting in the generation and maintenance of new Drosophila melanogaster lines, performing confocal imaging and running
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different modalities of microscopy (widefield, confocal, spinning disc, TIRF, super resolution), Image Processing (e.g., Fiji / ImageJ) and data analysis. • Good communication skills (written and oral
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follow up and recruitment of the children, at age 1 to 4 years, scheduling and conducting screening and study assessments, performing ultrasound imaging, and managing data entry and quality control. As the
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reticulum, lysosomes, and peroxisomes in orchestrating these processes. You’ll have the opportunity to deploy a wide range of advanced techniques, including confocal microscopy, live-cell imaging