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discover them Shape the future of critical-care research through data innovation. Monash University’s School of Public Health and Preventive Medicine (SPHPM) is at the forefront of improving health and
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months 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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superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity Join Australia’s
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months 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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of reconstructing the visual circumstances leading up to mate detection. The successful candidate will contribute to an Australian Research Council funded project seeking to determine how visual parameters are used
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and imaging butterfly courtship interactions within experimental enclosures with the ultimate aim of reconstructing the visual circumstances leading up to mate detection. The successful candidate will
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Health and Wellbeing. You will support Stephanie Partridge and the Youth Well Lab research team to achieve research objectives on projects aiming to minimise the harms and harness the benefits of digital
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of reconstructing the visual circumstances leading up to mate detection. The successful candidate will contribute to an Australian Research Council funded project seeking to determine how visual parameters are used
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to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming