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on the H1 standard is available at: https://students.unimelb.edu.au/course-admin/results . You have a strong interest in coastal and offshore engineering, renewable energy systems, and the interaction between
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together with other energy assets, such as electrical boilers, within a Model Predictive Control (MPC) framework that optimally balances electricity and heat production. Within FLEX-SMR, this PhD focuses
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-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout
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PROJECT DESCRIPTION Research aims at developing a wind-farm control emulator by coupling large-eddy simulations and aeroelastic turbine models with meso-scale weather models to run realistic wind-farm
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, microscopical, and omics approaches in cell cultures and mouse models to identify affected pathways and substrates. •Excellent candidate with a master in biomedical sciences or a related discipline with an