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insufficient. Recently our research group has developed deep neural networks to enhance underwater communications. Our preliminary study shows that deep learning models are able to improve accuracies
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on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer-aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection
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empowers students and staff to engage in taking informed action toward achieving brighter human futures in the domains of Sustainable, Global, Indigenous, and Learning Futures. The School of DBE is
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-functional teams to identify and implement effective solutions. Provide technical guidance and mentorship to junior developers, fostering a culture of continuous learning and growth. Qualifications and
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will build positive relationships with families and community, have a deep understanding of the Early Years Learning Framework (EYLF), and a creative approach to the learning cycles, providing
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perspectives and meet community needs. We are looking for Community Experience: Experience working with Aboriginal communities, with a deep understanding of the social issues they face and the ability
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University! Your new role Our IT Product Delivery team is focused on developing new and enhancing existing software solutions for teaching, learning and business areas at Curtin. We currently have 2 x
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature
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record of effectively implementing changes to digital products and driving business process improvement. Strong leadership skills demonstrated in successfully managing specialised technical teams. Deep
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vision to drive conversion from acquisition through to admission through developing, implementing and managing personalised engagement and nurture programs, leveraging your deep understanding of channels