49 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral positions in Australia
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of A/Prof Patrick Burr, please visit https://www.patrickburr.com/group At UNSW, you will join a vibrant materials research community within the School of Mechanical and Manufacturing Engineering and the
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- Training and Leadership, melissa.hart@utas.edu.au . 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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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity Join a collaborative and impact-driven research environment in QAAFI as a Postdoctoral Research Fellow in Quantitative Genetics
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Base salary will be in the range $95,361.61 - $102,302.91 + 17% Superannuation (HEW Level 6) Based at our St Lucia Campus About This Opportunity In this role, you will provide specialist research and
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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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monitoring approaches (e.g., machine learning, real-time sensing). Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible
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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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across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
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experience in: Radial velocity, stellar, and/or exoplanet spectroscopy studies; and/or astronomical instrumentation or observing programmes Machine learning in physical science, using Jax, PyTorch, and/or