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The Australian Institute for Machine Learning (AIML) offers new PhD scholarship opportunities in Industrial AI. These full-time scholarships support students undertaking their PhDs in AI and machine
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of 17% superannuation applies. Two fixed-term, full-time positions available for 2 years. An exciting opportunity for two passionate Machine Learning Engineers to drive cutting-edge research and real
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isothermal flow conditions relevant to bubble reactors using optical diagnostic methods, followed by image processing, which may include machine learning-based techniques. To analyse bubble dynamics from
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splitting and C–N coupling reactions. Work includes computational modeling of carbon-based materials, conducting simulations to understand reaction mechanisms, and developing and applying machine learning
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. Selection Criteria Level A 1. A PhD in Remote Sensing, Plant phenotyping, Computer Vision, Machine Learning, or a related field. 2. Strong experience in image processing and computer vision, particularly
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, biomedical instrumentation, wearable technologies, biomedical integrated circuits and sensors, neural engineering, optogenetics, and medical machine learning. Quantum Engineering: quantum sciences and
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. The candidate will have a PhD in Computer Science or Machine Learning (or be able to demonstrate equivalent research experience) and possess a deep and demonstrable knowledge of these fields. They must be a
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have a PhD in Computer Science or Machine Learning (or be able to demonstrate equivalent research experience) and possess a deep and demonstrable knowledge of these fields. They must be a strong team
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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range of legal fields including Environmental Law and Natural Resources, Military and Space Law, Law Reform, Commercial, Corporate and Tax, and Work and Employment Regulation. They are passionate