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) on Monday 11 August 2025. Interviews are planned to take place online on Monday 01 September 2025, subject to change. To apply online for this vacancy and to view further information about the role, please
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, provided at the bottom of the page where you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. We pride ourselves on being
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, within the Diabetes, Metabolism, and Inflammation (DMI) Group at the School of Life and Environmental Sciences. You will be a highly motivated individual who is able to work independently and as part of a
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, together with relevant knowledge in normal and malignant hematopoiesis research, including in vivo models. Experience generating single cell genomics data, previous experience of contributing to high-impact
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knowledge of statistics (R) Experience with multiverse analysis and open science practices Experience in the measurement and evaluation of eye tracking data is desirable Experience with physiological data
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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research, including in vivo models. Experience generating single cell genomics data, previous experience of contributing to high-impact publications/presentations and the ability to manage your own academic
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179935 – Postdoctoral Research Assistant Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 7: Salary in the range of £38,674-£40,855 per annum This is a
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in a supportive team environment and is eager to take the lead in characterising Mtb populations from patient samples. The successful candidate will play a central role in microbiological data
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changes. In this role, you will take a lead on developing data analysis approaches and contribute to the overall study design and implementation. In particular, this will involve applying existing or even