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advances in machine learning and real-time control fabricate robust instrumentation or photonic components for use at 8m-class and future ELT-class observatories perform lead roles instrument development
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
system and user behaviour. Join a growing portfolio of projects in artificial intelligence, natural language processing, and machine learning. These projects build on the School’s strengths in AI, machine
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: experience working with spatial omics or spatially resolved data in tissue experience applying AI or machine learning methods to digital pathology or histology data experience analysing kidney or transplant
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machine learning approaches relevant to breast cancer research and medical imaging, where appropriate collaborate with multidisciplinary teams including radiologists, radiographers, clinicians
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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, including collaboration with industry partners. Experience applying AI, machine learning, or advanced analytics to integrate chemical, sensory, process and experimental data to support innovation and process
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of the training and validation dataset machine Learning Development (HEO5): implement model training to classify lesion severity and map anatomical connectivity. Build and validate predictive models to establish
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations
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datasets is essential. Well-developed skills in machine learning approaches, clustering techniques and longitudinal modelling will also be highly regarded. We warmly invite applications for this exciting
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porphyry copper deposits. In this role, you will develop and apply machine-learning models to predict mineralisation using accessory minerals such as zircon and apatite, with a particular focus on