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, single-cell analysis, and machine/deep learning (preferred but not required). Strong programming and statistical skills (e.g., Python, Perl, R, Bash). Track record of first-author research papers. Strong
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health data, such as electronic health records or biobank-scale resources (e.g., UK Biobank, All-of-Us, FinnGen). Familiarity with machine learning approaches, such as penalised regression, deep learning
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to serve as the basis of published manuscripts Write manuscripts describing research results. Write grants and progress reports related to research funding. Qualifications PhD or MD required Strong
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lines, electrophysiology, sensorimotor behavioural tests and machine learning. The project will include designing and running experiments, recording, analysing and writing up results. The postholder will
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interest in methods development Experience in one or more of the following areas: algorithms development, transcriptome analysis, RNA modifications, statistics, machine learning, long read RNA-Sequencing
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-occlusion, lung injury and sterile inflammation in Sickle Cell Disease. The prospective candidate will have the opportunity to learn state-of-the-art techniques such as Multi-Photon-Excitation intravital
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staff, data storage and computer processing power. TRACERx has been highly successful, as of 2023 sequencing data from more than 400 patients have been fully analysed resulting in a flow of high-impact