Sort by
Refine Your Search
-
Listed
-
Employer
- The University of Queensland
- Monash University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Adelaide
- University of New South Wales
- Australian National University
- RMIT UNIVERSITY
- The University of Western Australia
- CSIRO
- Curtin University
- Macquarie University
- UNIVERSITY OF ADELAIDE
- University of Sydney
- RMIT University
- WESTERN SYDNEY UNIVERSITY
- 6 more »
- « less
-
Field
-
Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT's Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning approaches
-
at the RMIT Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT’s Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning
-
in conducting human behavioural experiments or human-centered field studies. Demonstrated experience in using machine learning, such as deep learning for image processing, or natural
-
the application of AI and machine learning to identify novel therapeutic targets and advance precision medicine approaches. For further information, please click here to view the full appointment
-
in advanced signal processing techniques and good understanding of emerging machine learning methodologies used in NDE. You will work in close collaboration with project partners at the University
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
research challenges in: dynamical systems differential games optimal control numerical optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a
-
Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a collaborative and forward-thinking research team working across decision and control theory
-
to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
-
sampling missions design of machine learning systems for real-time obstacle detection, terrain analysis, and environmental adaptation in extreme environments implementation of multi-constraint optimisation
-
experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python