Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Sydney
- University of New South Wales
- Macquarie University
- Monash University
- The University of Queensland
- Flinders University
- The University of Western Australia
- UNIVERSITY OF WESTERN AUSTRALIA
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Deakin University
- James Cook University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- CSIRO
- Nature Careers
- Charles Sturt University
- Federation University Australia
- UNIVERSITY OF SYDNEY
- University of Adelaide
- 8 more »
- « less
-
Field
-
an opportunity for a Postdoctoral Fellow. In this role, you will conduct both independent and collaborative research to advance expertise in electric machine design and optimisation, with a focus on permanent
-
, 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
-
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
-
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
-
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
-
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
-
collection and management for research, as well as basic knowledge of both quantitative and qualitative data analysis principles. Demonstrate high levels of computer literacy, including proficiency in learning
-
collection and management for research, as well as basic knowledge of both quantitative and qualitative data analysis principles. Demonstrate high levels of computer literacy, including proficiency in learning
-
technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly
-
systems (such as RedCAP), Endnote files, and databases Demonstrated experience with data analysis, visualization, and building machine learning models in programming language such as Python or/and R