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About the Role This post is part of a dynamic collaboration between the Centre for Trauma Sciences and the Centre for Translational Bioinformatics. The Centre for Trauma Sciences, is a
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We are seeking to appoint a talented and ambitious Postdoctoral Research Assistant to join the Bacterial Pathogenesis and Innate Immune Signalling group, based at the Sir William Dunn School of Pathology. This project will explore the fundamental principles and diversity of kinase reprogramming...
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reactions. We welcome applicants from diverse backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate
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backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate closely with experimental scientists and contribute
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, the development of clinical diagnostic assays, and bioinformatic analysis of next generation sequencing data would be a distinct advantage. Experience with samples related to Melanoma and Head & Neck cancer
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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established skills with primary human T cell cultures and proteomics. Have established skills in bioinformatics analysis and working knowledge of R Studio Have a strong ability to work independently but with
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and present the results at national and international conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a
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including protein purification, SDS-PAGE, and western blotting. The post holder should be familiar with bioinformatics tools and databases (BLAST, protein structure prediction tools) and have basic
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to participate in regular lab meetings, departmental research meetings, and supervise research students. You will gain interdisciplinary research experience in cancer multi-omics, bioinformatics, and artificial