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data, integrating multiple data sources, and supporting analytical modelling that informs infrastructure planning and policy. The position emphasises robust data engineering practices, reproducible
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strategic analysis and engage deeply with internal stakeholders ensuring requirements are met through financial modelling and analysis. Furthermore, you will drive the conceptualisation and recommendation
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range of tools, data sources and data acquisition methodologies to deliver data, reports and visualisations that underpin and inform student load modelling and planning. As a Senior Analyst, Student Load
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business and operating model transformation. More specifically you must have: Extensive, demonstrable and recent experience leading large-scale, multi-stream programs, ideally within data, digital
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 hours ago
School of Finance, 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
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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 | 3 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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. 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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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