52 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral positions in Australia
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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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- 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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contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, visit our Jobs at Macquarie page. Why
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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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culture that encourages growth, innovation, and meaningful impact. About you You thrive in collaborative settings and are committed to fostering an inclusive and equitable learning and research environment
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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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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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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