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Australian knowledge, but it also speaks to the mission of universities – to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet connected
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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to the preparation, production, and distribution of reports to clients, and provides general administrative support across the office. About You To be successful in this role you will demonstrate: Completion
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integrating IoT sensor data, ML algorithms, and energy system modelling / simulation. Develop engineering-based simulations to understand operational impacts on energy output and maintenance needs. Prepare
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their best work. THIS ROLE IS LOCATED IN SYDNEY, AUSTRALIA. The Coastal and Regional Oceanography group at UNSW is a dynamic team of researchers, including academics, postdocs, data scientists, technical staff
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speaks to the mission of universities – to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with
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, particularly in relation to health and social determinants in the NT context. Understanding of medical workforce distribution challenges and knowledge of generalist and specialist medical training pathways. Life
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technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and the world. Learn more about the Faculty of Business, Justice and Behavioural Sciences
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coordinating multi-centre clinical trials including monitoring, central laboratory specimen collection, shipment and storage, drug distribution and accountability processes. Experience in the development
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experiments for months before the value of output y is measured for some given input x. This creates an exciting challenge for AI researchers to develop smart algorithms that can find the optimal value of input