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This project will investigate artificial intelligence (AI) to improve weather forecasts and use crop models for making better farming decisions. The expected outcome is protocols for integrating AI
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The PhD candidate will gain intensive knowledge in innovative processing protocols for complex mineral processing, column leaching, and mining site environmental science through hands-on experiments as well as collaborations with CSIRO Mineral Resources experts. The PhD candidate will gain...
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___ The University of Newcastle, Australia Study Undergraduate Postgraduate International Pathways PhD and Research Masters New Students Scholarships Research Research excellence Research priorities Our stories Partner with us Institutes and centres Research facilities Graduate Research Research...
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to test those predictions. By comparing model forecasts with genomic and phenotypic data from the evolving populations, you will test whether a deep understanding of the cell can inform predictions
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to forecast disease burden under alternative vaccination schedules and to assess the impacts of completed vaccination programs against baseline transmission counterfactuals. This project will build on existing
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city size framework into dynamic land use–transport interaction (LUTI) models to enable scenario-based forecasting and planning under different infrastructure and policy conditions. Understanding
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such that non-credible contingency event impacts can be assessed presents many challenges including: Redispatch of network to reflect future forecast of demand and generation Modelling of future network
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limited to: Enhancing Small-Signal Stability in Inverter-Dominated Grids, Examining the effectiveness and uptake of electricity pricing mechanisms, Forecasting the future of indoor air, Role of storage in
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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term