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Australian National University | Canberra, Australian Capital Territory | Australia | about 6 hours ago
to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 17 days ago
to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig economies and prediction markets. Opportunity to supervise research students and work as part of a
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Psychology/Cognitive Science A track record in research excellence evidenced by peer-reviewed journal articles published in high quality journals relative to opportunity Experience in cognitive psychology
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and statistics, with expertise spanning time series analysis, Bayesian inference, financial econometrics, and data analytics. As home to one of the strongest forecasting research groups worldwide, we
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ageing research and how that relates to decision-making in later life for example through track record of publications. Demonstrated advanced statistical analysis skills, including experience analysing
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and level C include: A PhD in a related discipline, and/or relevant work experience. Proven commitment to proactively keeping up to date with discipline knowledge and developments. Demonstrated track
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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
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Fellow is responsible for contributing to the advancement of the University's research objectives through focused work on an Australian Research Council funded Research Hub for Carbon Utilisation and
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, they will have prior knowledge of infectious disease modelling, Bayesian inference methods and optimisation methods. They will have a developing research profile, with a demonstrated ability to publish
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The Level A Research Fellow is responsible for advancing the University’s research objectives by contributing to a defined project in the field of applied econometrics. This position supports the development