Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- RMIT University
- Australian National University
- Monash University
- RMIT UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of Adelaide
- The University of Western Australia
- Macquarie University
- University of New South Wales
- Curtin University
- La Trobe University
- University of Melbourne
- University of South Australia
- Australian Academy of Science Research Funding
- CSIRO
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Nature Careers
- UNIVERSITY OF WESTERN AUSTRALIA
- 9 more »
- « less
-
Field
-
within RMIT's School of Science. This is an exciting opportunity to contribute to cutting-edge research in quantum science and mathematics, specifically within the QuRMIT Theory Lab and the ARC Future
-
Job no:520112 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences Full-time appointment on a fixed term basis for two years. Base salary range: Level X, $113,934
-
with international colleagues. About the Mathematical Science Institute (MSI) The Mathematical Sciences Institute (MSI) at the Australian National University (ANU) is a leading international mathematics
-
Australian National University | Canberra, Australian Capital Territory | Australia | about 1 hour ago
Australian National University, Mathematical Sciences Institute Position ID: ANU -PSDRF [#26793, 559226] Position Title: Position Type: Postdoctoral Position Location: Canberra, Australian Capital
-
to global conservation science. To be successful you will need: A PhD in quantitative ecology, quantitative conservation biology, applied mathematics or a related Discipline Publication record in the relevant
-
: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
deep learning theory and practice. Applicants with expertise in probabilistic modelling, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine
-
Leadership Foundation, the Lab brings together experts from diverse disciplinary backgrounds and practice fields, to innovate new approaches and advance the theory, measurement, research, education, and
-
. Knowledge in Advanced Physical Models such as the ones typical used in Many Body physics, Superconducting Quantum field theories and RF Quantum Optics. Interests in Exploring novel kinds of Quantum Sensors
-
computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements