303 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs in Australia
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, rotating machines, system integration and electrical reticulation/protection. This role will also see you work collaboratively with a multidisciplinary team to advance renewable energy technology through
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, Director, matt.king@utas.edu.au or 03 6226 1974. Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. For current UTAS staff, in submitting
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, please contact Dani, v ia talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers . We are a Circle Back Initiative Employer – we commit
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, measure transport and machine learning on developing a novel mathematical framework for identifying reduced dynamical models of high-dimensional complex multi-scale systems. The project will develop fast
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related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or Econometrics (particularly applied micro, behavioural, or decision-focused modelling) Applied Mathematics
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 4 hours ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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machine-learning based approaches for extremely precise radial velocity studies and exoplanet spectroscopy with the NEID, HPF, and MARVEL facilities, and pursue related exoplanet and stellar science. We
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to interact professionally with participants, team members, and external stakeholders attention to detail and accuracy in data collection, entry, and management competence in basic computer applications (e.g