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The University of Adelaide is seeking to appoint an academic research leader of international standing to join the Australian Institute for Machine Learning (AIML) as a Professorial Research Fellow
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Bentley campus Flexible working arrangements, excellent leave entitlements & more! Job Reference: 1069107 Full-time Continuing | Curtin Bentley Campus (Boorloo, Perth) Lead Transformation in Human Learning
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Job Reference: 1069107 Full-time Continuing | Curtin Bentley Campus (Boorloo, Perth) Lead Transformation in Human Learning and Innovation Curtin University is a global leader in education, research
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Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise in computer vision and machine learning, including object
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics
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pioneering Australian research into a market-ready product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post
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policy improvement undertake other duties and contribute to projects appropriate within the classification level as required. About you specialist physician haematologist with experience in clinical CAR-T
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, or related discipline, with an excellent academic record. Demonstrated expertise and leadership in computer vision and machine learning research, including object detection, multi-object tracking, and
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University of Adelaide’s Australian Institute for Machine Learning (AIML) are actively interested in advancing leading research and development of AI). The now established Responsible AI Research (RAIR) Centre
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
candidate will join Associate Professor Jean Wen’s research group, conducting independent, high-impact research at the intersection of AI/machine learning, computational biology, and RNA biology. The position