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of education and research. Discover more via our website. Your next career opportunity As a Research Fellow in Professor Marta Garrido's laboratory at the Melbourne School of Psychological Sciences
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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 | 3 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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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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months only to find they are worthless at harvest. This project aims to develop new capability to detect and measure volatile agents directly in smoke, allowing growers to make more cost-effective vineyard
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, and contributing to strategic objectives. The role enables you to work both independently and collaboratively, supporting the development of research partnerships, supervising emerging researchers, and
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diverse range of stakeholders and students. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health and safety
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approaches. Operating under broad direction, you will translate research objectives into specific experimental and analytical tasks, acting as a subject matter expert on methodological approaches and providing
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education and research. Discover more via our website. Your next career opportunity As a Postdoctoral Researcher in the ARC-funded Discovery Project "Connecting the Dots: the Mathematics of 4d/2d Duality
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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