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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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these constraints into the training objective, complicating model training. This project aims to leverage advancements in computer vision, particularly in implicit neural representations, to embed priors in neural
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Scholarship code: SRS-25032 This scholarship has been established thanks to the generosity and vision of the late Mr Anastassios Vassilogianis, benefactor of La Trobe University's Greek Studies
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ultra-efficient lasers and all-optical transistors. Our goal is to uncover the elusive physics of strongly interacting polaritons far from equilibrium, bringing the vision of room-temperature superfluid
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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. • Proficient computer skills, including competence in the use of MS Office and other software packages, especially word processing, database and spreadsheet skills. About Swinburne University of Technology
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safety, innovation, and making a tangible impact, we encourage your application. Please note that the successful applicant will also need to satisfy the general requirements of entry into a PhD program at
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chemoreceptor activity. Your work will bridge both computational and experimental research, including validation using in vivo models, optimising light delivery systems, and aligning in vitro and in vivo findings
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data