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of modular robotic platforms capable of automated construction and analysis of synthetic microbial strains. Macquarie is a university engaged with the real and often complex problems and opportunities
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chromosomes and consists of modular robotic platforms capable of automated construction and analysis of synthetic microbial strains. Macquarie is a university engaged with the real and often complex problems
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appropriate within the classification level as required. About you a doctorate or PhD in a relevant discipline 2-5 years' experience in bioinformatics with a track record in developing analysis pipelines
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
of green iron and steel markets or other models, help develop policy scenarios for use in analysis, contribute to the development of a stakeholder survey, and assist in the organisation and participation in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
. Specifically, the researcher will map the interests, ideas and institutions relevant to planetary health equity in Australia and undertake a power analysis of these using qualitative research methods to identify
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
. Specifically, the researcher will map the interests, ideas and institutions relevant to planetary health equity in Australia and undertake a power analysis of these using qualitative research methods to identify
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psychosocial risk Principal (Major) Hazard management including critical controls Collection and analysis of health and safety statistics to identify trends and underlying causes Effective Occupational Health
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to support translational outcomes and shared priorities perform quantitative and qualitative data collection, coding, analysis and interpretation, and contribute to the production of high‑quality peer‑reviewed
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experiments. Programming skills in R or another language for data analysis and strong knowledge of statistical approaches in plant or biological sciences. Track record of high-quality research outputs (peer
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development for data or model output analysis. A clear desire and capacity for developing machine learning approaches, preferably with experience in its application to ice sheet problems. Salary details