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models to enhance the detection of online narratives. The successful candidate will be appointed to a two-year fixed-term, research-intensive position supported by ASCA’s EDT program on synthetic media and
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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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of these models and quickly detect any decline or unexpected behaviour. The system will be designed to recognise when it encounters unfamiliar conditions—whether these involve unusual appearances, shapes
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as required in accordance with the relevant curriculum objectives. Responsibilities include the identification of student needs and goals, and the organisation of student learning activities based
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achieve program objectives. Ability to communicate effectively, seek understanding and ask questions to clarify meaning. The path to Adelaide University We are on an exciting path to Adelaide University as
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shared objectives and align efforts toward common outcomes. Workshop organisation and facilitation: Design and lead both in-person and virtual workshops, ensuring inclusive participation and productive
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for an Animal Technician to support our Research divisions across the university. In this role, the Animal Technician will support the team in achieving the objectives of LAS in delivering research support
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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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that support reputation and revenue objectives. The role will support the management and implementation of the Search Engine Optimisation (SEO) strategy for the University's key marketing sites. This position
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the effective and efficient delivery of high quality and customer centred programs, as required in accordance with the relevant curriculum objectives. To be successful you will need: Demonstrated leadership