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bioinformatic processing of resultant large datasets generated by RADseq; 4) carry out network analyses and generate multi-species maps of interconnected trees; and 5) lead in writing and dissemination of results
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driving ecosystem health. You will have prior research experience in aquatic ecology and molecular genetics and will develop skills in environmental DNA/RNA analysis, including bioinformatic and statistical
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international conferences Preparing research manuscripts for publication You are experienced in (essential): Wet lab techniques (protein biochemistry and work with DNA/RNA) Basic bioinformatics (e.g. BLAST, HMMER
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, Statistics, Bioinformatics, Chemistry, Biology, Archaeology). Desirable to have a PhD (awarded or imminent) in a relevant subject and involving statistical data analyses and formal model comparison. Experience
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those resistant to antibiotics, through two projects: understanding the hospital sink microbiome and detecting novel pathogens in wastewater. You will use bioinformatics tools and develop pipelines
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, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data
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and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data including