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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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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
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, including object detection, multi-object tracking, and segmentation. Evidence of leading research projects, teams, or collaborations, with measurable outcomes. Strong record of publications or equivalent