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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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biology, reef ecology or related fields. Demonstrated fieldwork experience/skills on coral reefs (e.g., diving, deploying instruments, underwater data and sample/image collection; operating research vessels
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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strengths and contribute actively to their goals, including leading research programs that exploit molecular imaging capabilities to enhance the radiopharmaceutical program at UQ. These activities should
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 17 hours ago
-growing startup operating out of the Macquarie University DeepTech Incubator. Loop is developing clean minerals processing technology to unlock Australia's vast critical minerals resources. We are seeking a
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Futures programs are designed to empower students through career development, leadership training, global education, and work-integrated learning experiences. We are seeking 2 x Program Delivery Officers
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science or mechanical/chemical/computer engineering or related area digital twin and systems engineering, with the ability to model, simulate, and optimise complex manufacturing processes industrial
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services. This Program will enable the University to achieve its performance targets and align to the University’s strategic priorities. The Process Lead is a key role in the Program and is responsible