52 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
- 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
-
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
-
experience experience in molecular biology or genetic engineering techniques ability to learn how to conduct protein purification and characterisation ability to operate and maintain biological equipment (e.g
-
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
-
the Position Description for this role. Applications Close Monday 19 January 2026 11:59 PM Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405304/postdoctoral-resear… Requirements
-
, 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
-
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
-
related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or Econometrics (particularly applied micro, behavioural, or decision-focused modelling) Applied Mathematics
-
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
-
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