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implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised
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the recruitment process. To Be Successful You Will Need Level ARAS Relevant tertiary qualifications and demonstrated experience in transcriptomic data analysis and relevant methodologies (e.g. RNA-seq, clustering
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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. The Intelligent Systems activity cluster within the School focuses on the computational modelling and
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
and Analytics, and the Software Innovation Institute. The Intelligent Systems activity cluster within the School focuses on the computational modelling and design of intelligent agents in complex real
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
verification. Applications are particularly invited from researchers who undertake high impact collaborative and cross-disciplinary research, and whose interests/expertise contribute to the activity cluster
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
verification. Applications are particularly invited from researchers who undertake high impact collaborative and cross-disciplinary research, and whose interests/expertise contribute to the activity cluster
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(data aggregation and processing, database management, analysis, and visualisation). Operating within Unix-based environments (headless servers, HPC clusters), with a preference for experience managing
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. The Intelligent Systems activity cluster within the School focuses on the computational modelling and design of intelligent agents in complex real-world contexts. The research integrates areas of artificial
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on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work