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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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: Research Conduct high-quality research by collecting and processing weather radar data for Western Europe and estimate hail footprints at high spatial and temporal resolutions. Develop a comprehensive radar
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methods within in-house grid modelling platform to inform the design of Australia's carbon-neutral energy value chain, including emerging renewable fuels markets. The successful candidate will contribute
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energy transition. This role focuses on the development and application of advanced forecasting and scenario analysis methods within in-house grid modelling platform to inform the design of Australia’s
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capabilities in agricultural disease management. Your responsibilities will include: Lead the development and application of novel methods/pipelines for processing and analysing satellite, airborne and proximal
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analysis to estimate ecological parameters, and implementing models in Matlab. You will work closely with a diverse team of around 20 field ecologists and modellers, as well as international collaborators
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many-body methods for multi-valence-electron atoms, with a focus on transition metals of interest for spin-crossover metal-organic frameworks (MOFs). The applicant will be involved in the development