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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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statistical modelling, to contribute to an ARC-funded Discovery Project investigating the psychology of how people manage competing demands inside and outside of work. The project develops and tests a novel
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institutes throughout UNSW Medicine. Details of the role The Post Doctoral Fellow will be expected to carry out independent work on modelling the health impact of vaccine strategies for endemic respiratory
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Postdoctoral Research Associate in Computational Modelling and Design Optimisation to work closely within a multi-institutional team comprising HDR and Honours students, as well as external collaborators across
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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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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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. 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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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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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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implement impact-driven delivery models within a diverse research environment. Experience developing, leading or managing complex research initiatives, programs or strategic portfolios. A passion for