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and act as team leader as required. Applicants will have expertise in the cryo-electron microscopy and/or tomography, including the sample preparation, microscope operation, and image processing
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questions, and design practical solutions. Deliver iteratively: prototype, test, improve, repeat. Help shape how we use AI safely, responsibly, and effectively across the organisation. What we’re looking
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transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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: Advanced molecular and protein analysis Mass spectrometry-based imaging Multi-omics technologies Preclinical cardiometabolic animal models They will also gain professional development in data stewardship
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metabolomics, as well as imaging mass cytometry, and test the effect of AZ clinical compounds on the immune-metabolic landscape of our PanIN-to-PDAC models. Dr Koulman will provide training and support with
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. Applicants should not feel obliged to focus on a traditionally identified paradigm. The ideal candidate for this Research Fellowship will have a strong background in a relevant area of work and be completing
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strongly encouraged. Applicants should not feel obliged to focus on a traditionally identified paradigm. The ideal candidate for this Research Fellowship will have a strong background in a relevant area of
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equal opportunities employer and strives to meet its commitment to equality and diversity. This includes not discriminating under the Equality Act 2010 and building an accurate picture of the make-up
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your consent at any time by clicking the small icon at the bottom left corner of the website. Accept all Decline all Save settings Necessary Functional Statistical Marketing Show details Hide details