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Field
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or single nuclei RNA sequencing, including laboratory and analytic methods. The ideal candidate will perform both in vitro laboratory methods and bioinformatics analyses. Salaries are based
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comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data from faecal, intestinal biopsy and saliva
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science
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of biological sciences and/or bioinformatics. Experience in bioinformatic analyses of complex datasets. and/or Experience of in vitro cell culture & Experience in various techniques such as RNA extraction
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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be at Research Assistant Grade 6B, with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. About you The successful candidates : Have a PhD in bioinformatics/single
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of a mentor, the participant will be involved in microbial sequence data analyses using bioinformatic tools, identifying beneficial microbes from soil and plant rhizosphere, and compiling the research
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of academic publishing Knowledge of bioinformatics tools (R, Bash, NeSI) is an advantage Alignment with Manaakitaka and Lincoln University values. Kā hua ka riro ki a koe | What's in it for you? At Lincoln
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epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
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, bioinformatics, and/or human stem cells will be viewed as an asset Willing to work with animal models Fluent oral and written communication skills in English We are looking for talented and highly motivated