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allow the team to develop lung function-based respiratory biomarkers through the application of artificial intelligence, machine learning and image processing technologies to lung ventilation data
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of Agriculture, Food & Wine, focusing on smart agriculture and Ag-Tech solutions. This position will lead the development and application of advanced agricultural technologies that improve the sustainability
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opportunity Experience in machine learning and deep learning Proficiency in one or more high-level programming languages such as Python, Java, or R. Strong commitment to interdisciplinary research and a track
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ambitious research program to investigate the intersection of plate tectonics, critical metals, and Earth's habitability by trying to better model the Earth’s surface evolution from 1800–500 million years ago
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an essential role in developing new grant applications, assist with the supervision of postgraduate students and support the preparation of publications arising from these activities. To be successful you will
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contribution of up to 17% superannuation may apply. The University is seeking applications for an ARC Grant Funded Researcher for a 2 year fixed term appointment. The specific topic area of this post is the
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the field. Our research programs focus on the spectrum of heart rhythm disorders and involve a multidisciplinary team of physicians, bioengineers, research scientists and computational modellers. This allows
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in the Tumour Inflammation and Immunotherapy Program at SAiGENCI combine molecular biological and genetic approaches, together with human translational studies, to identify the mechanisms by which
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or supervise students Proven ability to develop course material with appropriate guidance from the program coordinator Experience in performing administrative functions primarily connected with the area of
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong