305 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Australia
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. Demonstrated ability to work as a member of a team in a supportive, inclusive and collegial manner. Proven computer literacy and proficiency in using various research and administrative software applications
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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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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
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website: https://www.ccdm.com.au/. Our commitment to a diverse and inclusive workplace: At Curtin University, we are passionate about fostering an inclusive, diverse and welcoming environment in which all
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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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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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industry, research and civil society network. Its priority domains for public engagement are news and media, transport, social services and health. Learn more about the ADM+S Centre here: https
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join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting opportunity for an early
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, are strongly encouraged to apply. Learn more about the ADM+S Centre here: https://www.youtube.com/watch?v=AkyZpYjxNBc To be successful for this position, you'll have: A PhD in a relevant discipline area, such as
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motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting