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microbiome or bacterial-host bioinformatics is required. Proficiency in raw data processing, taxonomical annotation, and analyses of 16s rRNA datasets (ie DADA2, MaSalin2, Random forest analyses etc
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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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data in collaboration with bioinformatics experts to assess library quality and performance. vii. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and
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• Training courses in cutting-edge technologies (OMICS technologies, innovative human infectious disease models (e.g. organoids, iPSC), bioinformatics, AI) and soft skills required for a successful career
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bioinformatics experts to assess library quality and performance. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and proposing experimental improvements. Support
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% superannuation) About the Roles The Research Associate/Fellow will be responsible for the provision of high-quality research bioinformatics support and management to collaborative research programs led by
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The responsibilities may include some but not all of the responsibilities outlined below. Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project
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to the programme of research. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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Australia's sovereign mRNA capability and international competitiveness by building scalable, high-impact bioinformatics pipelines that can support academic and commercial users of the platform. Key
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loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You