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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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gas is a crucial aspect of the ongoing energy transition, serving as a renewable energy source for industrial processes and a substitute for fossil fuels. Australia, with abundant and cost-effective
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stiffness by changing their composition and self-assembly process. The relationship between nanoparticle structure and stiffness will be determined both through experimental and modelling approaches. Finally
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University under the supervision of Professor Tim Dwyer at Monash University, Australia’s leading computer graphics researcher. Please note that this opportunity is limited to applicants who are legally
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that includes any publications/awards, experience relevant to the project and the contact details for 2 referees PV’s monitoring process can be done intelligently thanks to drone. Remotely operated
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) Atomistic classical simulations of macromolecules (v) Biophysics. You can write computer codes to solve some of the daily research problems and have experience with high performance computing. You should have
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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
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on mechanical and physical separation methods for efficient recovery of active materials and components from spent LFP cells as well as development of hydrothermal relithiation processes to restore
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storage and greenhouse gas upgrading at reduced operation temperatures featuring high efficiency, selectivity, superior stability, and cost effectiveness. This project should provide significant benefits
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
waveguides and fibres Digital signal processing Design and analysis of photonic systems. Applicants must have a Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano