Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Monash University
- Curtin University
- The University of Queensland
- University of Adelaide
- CSIRO
- Nature Careers
- Queensland University of Technology
- RMIT University
- University of New South Wales
- Flinders University
- RMIT UNIVERSITY
- University of Southern Queensland
- Central Queensland University
- University of Technology Sydney
- 4 more »
- « less
-
Field
-
optimisation.” The successful candidate will be involved in developing new mathematical theory and designing and implementing optimisation algorithms relevant to quantum information. The Research Fellow will
-
computers, and especially fault-tolerant quantum computers, for high-value decarbonisation use cases such as improved battery chemistries, the development of new catalysts for hydrogen, biofuel or ammonia
-
extraordinary ideas - and the people who discover them The Opportunity We are seeking a highly motivated Research Fellow to join the Faculty of Science and School of Physics and Astronomy to develop methods
-
group to work on a project developing provable network security methods that use higher-order graph-based abstractions to model networks and network security problems. Scalable algorithms developed
-
the use of quantum computers, and especially fault-tolerant quantum computers, for high-value decarbonisation use cases such as improved battery chemistries, the development of new catalysts for hydrogen
-
who likes building things and can integrate systems to help develop both robotic and perception platforms. We’re offering this role as a hybrid position as part of QUT’s commitment to embracing
-
facility at the University of Queensland. We’re seeking a Research Scientist/Engineer to help develop next-generation quantum technologies. In this role, you’ll work within our Quantum Systems Team to: Drive
-
(UNSW), Prof. Brendan McKay (ANU) and Prof. Ian Wanless (Monash). The project aims to develop new theoretical tools to address fundamental challenges about graphs and hypergraphs with given degrees
-
through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
-
automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms