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. This role provides an exciting opportunity to apply advanced machine learning and statistical modelling techniques to large-scale, high-dimensional eDNA datasets collected from Australian coastal and deep-sea
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council
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Professorial Research Fellow in Artificial Intelligence (AI) and Machine Learning (ML) to provide leadership and vision in advancing research excellence. This is a unique opportunity to apply cutting-edge
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Intelligence (AI) and Machine Learning (ML) to provide leadership and vision in advancing research excellence. This is a unique opportunity to apply cutting-edge research to national priority areas, including
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With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth
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On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices, such as face recognition
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Machine Learning. Situated at the intersection of Computer Science and Mathematics, this role offers a distinct opportunity to drive innovation in one of the most dynamic fields of modern technology. You
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: The College of Science and Engineering is seeking an enthusiastic and dedicated Lecturer in Applied Mathematics (Data Science and Machine Learning) to drive excellence in teaching and learning across our
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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model with each SNP independently, perhaps adjusting for other covariates such as age and sex. This project will focus on developing and applying novel machine learning and AI methods to improve