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underwater acoustic communication is essential to transmit high-speed data for Australian offshore oil and gas industries, marine commercial operations, monitoring environmental pollution, collecting
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, 'Transforming Smart Bridge Monitoring by Computer
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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
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receive a tax-free stipend of $52,352 per annum (2025 full-time rate) plus the opportunity for a paid internship with the Australian Energy Market Operator (AEMO) The Opportunity: Monash Engineering is a
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are available in the Centre of Infrastructural Monitoring and Protection (CIMP), School of Civil and Mechanical Engineering at Curtin University, Australia. The successful candidates will work with Associate
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Class Honours (average grade 80-100) or equivalent. Meet the entry requirements for the relevant Higher Degree by Research at Swinburne University of Technology. The scholarship is contingent upon
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includes an extension of up to six months (PhD). This is the full-time, tax exempt rate which will index annually. You will receive a tuition fee offset/sponsorship, covering the cost of your tuition fees
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for enhanced protective clothing systems. The research will use RMIT’s new flame mannequin. The successful applicant will have good lab skills and a background in fibre technology, textile chemistry and/or
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This project will advance automated technologies for machine vision sensing of plant health in Controlled Environment Agriculture (CEA), for example in vertical farming systems. CEA is projected
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(AI) technologies have advanced significantly, current software engineering methodologies remain insufficiently equipped to integrate responsible, reliable, and scalable AI-driven solutions into systems