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the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published
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Full-time enrolment in a PhD program at Curtin University Background in artificial intelligence, computer vision, or structural/civil engineering Demonstrated research experience, with evidence of
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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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are looking for: To qualify as a PhD student, you must have a Master's degree in a relevant field to theory of machine learning and AI. This includes, but is not limited to, computer science, electrical
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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. The project will be based in the AI Laboratory for Molecular Engineering (AIME) , led by Assistant Professor Rocío Mercado Oropeza, where researchers develop new machine learning (ML) methods to tackle
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livable cities. The project will be based in the AI Laboratory for Molecular Engineering (AIME) , led by Assistant Professor Rocío Mercado Oropeza, where researchers develop new machine learning (ML
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fixed for one year in the first instance. Further extension many be possible subject to the availability of funds. You should hold a PhD degree in a computing related subject and have research and
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and Computer Science AI/Machine Learning Nanotechnology/Devices (more...) Artificial Intelligence, Machine Learning and Autonomy Health Tech Microelectronics BioNanotechnology Material Science and
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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