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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 4 hours ago
to the fields of data science, data analytics, statistics, machine learning, bioinformatics, or quantitative biology. To be considered to be appointed at Academic Level B, candidates should provide evidence of
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
relevant to the fields of data science, data analytics, statistics, machine learning, bioinformatics, or quantitative biology. To be considered to be appointed at Academic Level B, candidates should provide
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
working with real data, and a substantial commitment to reproducible and transparent workflows. They should also have evidence of experience relevant to the fields of data science, data analytics
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part of a dynamic, engaged, and enthusiastic research team. To be successful, you’ll have: PhD in Accounting, Economics, Finance, Management, Marketing, Information Systems and Business Analytics, Law or
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interpreting MS data with the team. Develop and apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners
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apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners to translate findings into practical screening
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integrative data synthesis and advanced analytics to accelerate the development and implementation of evidence-based strategies that prevent and manage chronic illness and improve health outcomes across
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diagnostics through to large‑scale public health programs. The position combines advanced analytical work with research leadership, collaboration across disciplines, and contribution to competitive funding
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promotions process. About You Completion or near completion of a PhD in computer science, information visualisation, visual analytics, human-centred computing (HCI), spatial data science, or a closely related
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artificial intelligence, machine learning, IoT, and their security implications for organisations and society. •Misinformation – Analysis of the creation, spread, and impact of false or inaccurate information