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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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, advanced soil analysis, and modelling. The research involves field work in Western Australia’s unique ecosystems, applying cutting-edge imaging, spectroscopy and molecular techniques, and leveraging machine
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Antarctica’. Computational geophysics at the University of Tasmania spans applications to earth system physics, with a strong focus on geophysical data analysis, machine learning and inverse methods relating
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-physical Systems Machine Learning and Artificial Intelligence Quantum Devices and Systems Robotics Security and Dependability Signal Processing Software Engineering All positions are full-time, continuing
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components. The resulting data will be used to train a machine learning (ML) model, enabling automated and efficient beamline alignment. This technology has the potential to significantly enhance
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much
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an electrical and computer systems engineering degree in the Faculty of Engineering. Total scholarship value $20,000 Number offered One at any time See details Farrell Raharjo Clive Weeks Community Leadership
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staff position within a Research Infrastructure? No Offer Description Lead world-class AI research and education at RMIT. Shape the future of Generative AI, Machine Learning, and Data Science through
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Lead world-class AI research and education at RMIT. Shape the future of Generative AI, Machine Learning, and Data Science through innovation, engagement, and real-world impact. 1 x Full time