298 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in Australia
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 29 days ago
ideal candidate will have completed a PhD on the Philippines in the fields of International Relations and/or Political Science, and be able to teach in areas relevant to Peace and Conflict Studies in
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make our workplace open, supportive and safe for everyone. To learn more about the School of Physics, click here About you The University values courage and creativity; openness and engagement; inclusion
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
years. This role will develop and apply new machine-learning based approaches for extremely precise radial velocity studies and exoplanet spectroscopy with the NEID, HPF, and MARVEL facilities, and pursue
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transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people
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-platforms-lab . About You (Selection Criteria) You are a motivated and collaborative early career researcher with a strong foundation in AI and machine learning, and a genuine enthusiasm for applying
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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 125th globally and 10th in Australia in QS World University Rankings 2026. To learn more
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radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these approaches in radiation therapy
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for this role. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408532/aola-richards-postd… Requirements Additional Information Work Location(s) Number of offers available1Company
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For further information about this position, please contact Madeline Green, Research Fellow Molecular Fisheries Ecologist on Madeline.Green@utas.edu.au Please visit https://www.utas.edu.au/jobs/applying
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mentorships, professional development opportunities and on the job training. To find out more about the CCDM, please visit our website: https://www.ccdm.com.au/. Our commitment to a diverse and inclusive