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working under the supervision of Prof Chris Buckley and will closely collaborate with other team members in Oxford such as Tissue Biology Lead Prof Mark Coles and Computational/Bioinformatics Lead Dr
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will be responsible for applying computational and bioinformatics approaches to investigate the mechanistic triggers of VITT and identify strategies to reduce associated risks. This will include
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interpret findings. Develop computational and bioinformatics pipelines for spatial transcriptomics, multiomics and imaging data. Integrate tissue imaging, molecular and clinical datasets to generate advanced
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. Candidates with experience in genomic analyses, proteomic approaches, imaging analysis, iPS differentiation and bioinformatics would be especially welcome. The post available as a fixed-term contract for 1
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have completed the requirements for a first degree in computer science, artificial intelligence, bioinformatics, computational biology or a related quantitative discipline before taking up
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within the Department. Experience of working collaboratively within multidisciplinary research teams is desirable. Experience in bioinformatics and the analysis of next-generation sequencing data would
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prognostic approaches are limited and show high interobserver variability. It is essential that you hold a PhD/DPhil (or close to completion) in a biomedical, bioinformatic or relevant subject. You must have a
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in neurodegenerative disease. You will work closely with the bioinformatics and proteomics teams on the data analysis. You will work to tight and moving deadlines, adopting a flexible approach
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by Professors Deborah Gill and Steve Hyde. You will be part of a multi-disciplinary team developing Lentiviral derived nanoparticles (LVNPs) to treat rare diseases and will be keen to participate in
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. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online