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opportunity for a motivated Masters-level graduate to work on a project to develop an AI-enabled platform that optimises processing settings, chill profile and pH control across poultry operations; improving
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, commensurate with career stage. Strong mathematical and algorithmic capability, with demonstrated experience applying machine learning to research problems Strong programming skills in Python and/or MATLAB
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 5 hours ago
, commensurate with career stage. Strong mathematical and algorithmic capability, with demonstrated experience applying machine learning to research problems Strong programming skills in Python and/or MATLAB
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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on the design of image analysis strategies tailored to their projects. — Develop and optimise analysis pipelines for wide-field, confocal, super-resolution (STED) and lightsheet microscopy. — Implement
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irreversibly electroporated areas based on measurements of local electrograms and electrical impedance. This precise delimitation will enable optimisation of pulsed field ablation, maximising its effectiveness
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) who will develop, optimise, and validate wireless power transfer (WPT) systems for electric vehicle charging roadway applications. The SRF will contribute to Double-D coil-based WPT system design
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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Ranging Interferometer (LRI) and investigate geophysical applications of this new type of observation. Another part of the position involves optimising, and in particular accelerating, the EPOS (Earth
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of the system, including laboratory testing and/or in situ monitoring campaigns. •Proposing predictive maintenance strategies based on the collected data and developed models, w ith the aim of optimising