55 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" research jobs in Australia
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. The position contributes to “Brain-in-Space: A Machine Learning Framework for Self-Organizing Low-Earth Orbit Satellite Networks”, funded by the Global Science and Technology Diplomacy Fund. You will investigate
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 14 hours ago
. The position contributes to "Brain-in-Space: A Machine Learning Framework for Self-Organizing Low-Earth Orbit Satellite Networks", funded by the Global Science and Technology Diplomacy Fund. You will investigate
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Computer Engineering at the University of Sydney is seeking to appoint a Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of creating robust radio frequency
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opportunity The School of Electrical and Computer Engineering at the University of Sydney is seeking to appoint a Postdoctoral Research Associate to contribute to an exciting project focused on the challenge
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Research Fellow – AI/Machine Learning in Pharmaceutical Data Job No.: 697007 Location: Clayton campus Employment Type: Full-time Duration: 11-month fixed-term appointment Remuneration: $86,195
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machine learning can be used to understand complex behaviours such as reliability, competence, transparency and trust. The position will design and develop innovative reasoning algorithms and knowledge
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materials discovery with cutting-edge high-throughput platforms, robotics, machine learning, and autonomous experimental workflows. Access World-Class Facilities: Based in the Department of Chemical and
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analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and microkinetic models where appropriate
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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statistical methodology, including genomic prediction, crop simulation and machine learning, to improve prediction of crop yield and related traits. Supervision and Researcher Development: Assist with mentoring