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of genomics such as genome sequencing and single cell approaches, in addition to broader data integration efforts across multiple types of 'omics data. The advertised role provides analytical support in
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genome sequencing and single-cell approaches, as well as broader data integration across multiple omics data types. The role holder will apply their computational and bioinformatics skills to contribute
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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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training and capability building in these areas. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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for long-read DNA and RNA sequencing, with a focus on transcript isoform discovery, alternative splicing, genetic variation and multi-omics integration in neurodegenerative disease. The role will be
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DNA and RNA sequencing, targeted molecular assays and functional genomics approaches to characterise disease-relevant loci, transcripts and variants in neurodegenerative disease. The role will sit at
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descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. If you encounter any technical issues while applying online, please
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related discipline. Some practical experience from your degree or other equivalent laboratory experience in standard molecular biology techniques such as PCR, gel electrophoresis and DNA sequencing is
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; continual or lifelong learning; or AI safety (alignment, scalable oversight, adversarial robustness). A strong publication record at relevant venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or established AI safety
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, microscopy, proteomics, and chromatin-based assays. You will work with sequencing-based datasets and contributing to bioinformatics analysis and interpretation of data, and support the development and