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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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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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, imaging techniques and bioinformatic analysis of microscopy images, RNAseq data and/or spatial transcriptomics. Experience with confocal imaging, human fetal cortex tissue, RNAseq and image analysis are all
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preimplantation genetic testing, molecular sequencing, and bioinformatics. If you are eager to contribute your expertise and inspire the next generation in these cutting-edge fields, this role offers a unique
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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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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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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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approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism