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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, computer science, information systems, media studies). Have strong social research (quantitative/qualitative
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pipelines to analyse big volumes of metagenetic data. The analysis pipeline will roughly use packages such as trimomatic, FastQ screen, centrifuge/kraken and many more. The PhD candidate: The preferred PhD
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immune responses to promote T cell-mediated tumour clearance. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour
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The project will involve critical analysis of existing academic literature, participatory and co-design with users, development of novel technology prototypes, and evaluation using qualitative and
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, statistical and bioinformatic algorithms for the analysis of microscopic images and data obtained by various biochemical and biological assays. You will be part of and mentored by a multidisciplinary team
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, information systems, user experience design, game design) Have strong social research (quantitative/qualitative) AND/OR computing design and analysis skills Provide evidence of strong oral and written
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and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including
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as well, resulting in increased survival. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour flowcytometry (up to 27
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uses world-class big-data omics analysis of immune cells, including RNAseq, genome-wide epigenetics, multicolour flowcytometry, cell sorting, multiplex cytokine analysis, as well as classical
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Candidate will use techniques such as germline/tumour sequencing data, plasma analysis and work with patients’ immune cells work to identify key functional targets. They may perform epigenetic techniques, DNA