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spanning immunology, and bioinformatics, with access to advanced flow cytometry, 10X Genomics, in vivo imaging platforms. Key responsibilities To work within the Mansour and Roghanian labs, and with
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Africa with the aim of understanding the biology of adaptation in fungal pathogens. The post will use a combination of classical, genomic, molecular and bioinformatic techniques to investigate the sexual
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generating DNA cytosine modification dysfunction in IPF, and potential targets for therapeutic interference in IPF development. Applicants must be highly motivated and self-driven, with a PhD in bioinformatics
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maintenance of analytical instrumentation. About You You will: Hold a PhD in data science (bioinformatics), chemistry, statistics, biochemistry or a related discipline Have expertise in programming and
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, Italy and the UK. We will use artificial intelligence, bioinformatics, next generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics
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://tigrrlab.science.unimelb.edu.au/research/ Our team has a diverse skill set in the fields of morphology, developmental biology, evolution, stem cell biology, genetics (incl. population), genomics, bioinformatics and conservation
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of bioinformatic analysis of microbial genomics data High level analytical capability Ability to communicate complex information clearly Contribute to the planning and organising of the research programme and/or
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have experience of conducting bioinformatic analyses for DNA-based data (e.g. shell scripting or python), although this is not essential. There will be exciting opportunities to work with external
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Familiarity with chromatin and gene expression research Ability to analyse and interpret data with strong quantitative/computational skills Programming and bioinformatics skills Experience with mammalian tissue
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported