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to contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models. Working closely with leading researchers, you will design, develop, and implement
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
, Actuarial Studies and Statistics at the ANU College of Business and Economics. The successful candidate will develop and maintain R packages in statistical design and modelling, while also providing
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of nonstationary spatiotemporal data arising from weather and climate observations/models. About the role Level A - $113K - $121K plus 17% Superannuation and annual leave loading Fixed term – 2 years Full-time (35
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Full time fixed term for 2 years at Cobbitty, Camden Campus Opportunity to conduct research applying computational biology and AI modelling to plant–pathogen interactions Base Salary $113,400
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to protocol development, power/sample size considerations, and statistical analysis plans develop and apply advanced modelling approaches (e.g., survival and competing-risk models, causal inference methods
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. Solid understanding of contemporary AI concepts including large language models, agentic systems, prompt engineering, orchestrations, tool-use and retrieval patterns. Extensive Experience working with one
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machine learning and Large Language Models (LLMs). Demonstrated ability to conduct independent research with limited supervision. Demonstrated track record of publications in top-rated journals and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 20 hours ago
modelling, while also providing analytical support to projects relevant to the Australian grains industry. This position will be part of a partnership between ANU and the Strategic Partners (Curtin University
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are recruited, trained and supported to deliver engaging, high-quality student outreach experiences. As relatable role models, these ambassadors share their stories and help high school students build confidence
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in the school, particularly in the areas of predictive modelling and infectious diseases within postgraduate teaching, with extensions to life-long learning. The lecturer is expected to conduct