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throughout the project. It will focus on: Expression, characterization and application of proteins suitable for REE recovery, available from UQ. Techno-economic evaluation of process options for REE recovery
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quantification of intermediates, products and byproducts will further be developed, as well as reaction tracking. A second PhD student on the project will be responsible for developing the catalytic process and
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the development of advanced computational multiphysics models of stress corrosion cracking and coupling these with process-microstructure models (being developed within MicroAM project). Main focus will be
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equivalent to a two-year master's degree in mathematics, physics, computer science, electrical engineering or closely related fields with a focus on computer vision, machine learning or robotics A strong
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typically done by manually adjusting control gains through trial and error - a time-consuming process that is increasingly unreliable as grid conditions shift from minute to minute. This PhD project will
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industry. Responsibilities and qualifications Your overall focus will be to advance the development of a sustainable photochemical reduction process for PFAS mineralization using a green reducing agent. You
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to maintenance Collect and analyze industrial case data in energy, manufacturing, or process sectors Develop conceptual and computational models linking operations and maintenance Validate frameworks in