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funded post is available from 2nd February 2026, or as soon as possible after this date, for 3 years. The postholder will be responsible for bioinformatic analyses and the drafting of resulting manuscripts
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& Hematopoietic Cell Transplantation. Dr. Diamond’s research team is seeking a highly motivated candidate with skills and understanding in antigen presentation utilizing bioinformatics tools to be applied
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varies Minimum Experience/Education Ph.D. in Evolutionary Biology, Genomics, Quantitative Genetics, Bioinformatics, Plant Biology, or a related field (completed by start date). Demonstrated experience in
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innovating core bioinformatics activities for the 4M project, specifically shotgun metagenomics pipelines and reference genome databases. About you The successful candidate must have a PhD in bioinformatics
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analysts and provide strategic bioinformatics support across multidisciplinary projects. The role involves analysing clinical and genomic data from well-characterised epilepsy cohorts, with a focus on
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well as bioinformatics. Preferred or Related Degrees: Biology / Environmental Sciences Preferred or Related Master’s Degrees: Master’s in Fundamental Biology, Genetics and Evolution, Conservation Biology, or similar
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% superannuation About the opportunity This role contributes to cutting-edge research in immunology, microbiome and nutritional analysis, and bioinformatics. It sits within a multidisciplinary team at the Nepean
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bioinformatics pipelines in Python for the analysis of genomics and large-scale omics datasets. Work within a collaborative team with regular scientific presentations and discussions. Work Plan - Development
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-stratification. We will finally use cutting-edge bioinformatics data science and AI tools developed in-house to analyze and integrate RNAseq and proteomics results from the cancer cells isolated from the blood
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the Weingarten lab at Harvard Medical School in Boston Massachusetts. Our laboratory works at the intersection of virology, synthetic biology, immunology, and bioinformatics to bioengineer high throughput methods