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this post you will use specialist scientific technologies (multicolour flow cytometry, advanced 3D imaging, lung function equipment) in a laboratory environment and software (FlowJo, Fiji, Imaris) to collect
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The Oxford Centre for Integrative Neuroimaging (OxCIN) is an exciting Centre formed out of the world leading brain imaging centres in Oxford. Research engagement is one of the Centre’s core values
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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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, 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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analysis and quantitation of immune cell populations in immunofluorescence images of tissue sections and experience of cancer cell line culture, and experience of complex flow cytometry analysis of immune
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of optics and photonics, either providing complementarity to existing activities, particularly in optical systems engineering, optical manufacturing, photonic devices and materials, optical imaging and
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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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biophysics relies on a basis of outstanding scientific programming. To this effect, in the Nynke Dekker lab we develop our own software to control experiments and perform state-of-the-art image processing and
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of functional brain imaging (preferably MEG or EEG) data. With an interest of scientific research into brain science and technologies, you will hve an excellent working knowledge of computers and databases
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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