Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- The University of Queensland
- Curtin University
- University of Sydney
- University of Adelaide
- CSIRO
- UNIVERSITY OF SYDNEY
- University of Southern Queensland
- Australian National University
- La Trobe University
- UNIVERSITY OF WESTERN AUSTRALIA
- University of New South Wales
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Macquarie University
- Murdoch University
- Queensland University of Technology
- RMIT University
- The University of Western Australia
- UNIVERSITY OF ADELAIDE
- 9 more »
- « less
-
Field
-
formative assessment and personalised feedback while ensuring fairness, accountability, and transparency. The research will explore a combination of algorithmic design, human–AI interaction, and empirical
-
Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning
-
algorithms for computing MML solutions beyond the one-dimensional case. Extend existing dynamic programming approaches to higher-dimensional problems or develop novel approximation methods that preserve
-
theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse dynamical systems arising from idealised models or data. Collaborative
-
++, Python, and ROS/ROS2 Demonstrated experience with robotic middleware, control algorithms, and system debugging Familiarity with Git, CI/CD workflows, and Linux-based software environments Excellent
-
planning algorithms for GPS-denied lunar environments and extreme operational conditions stochastic optimisation frameworks for mission-critical decision-making under uncertainty Research areas and technical
-
algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also
-
will involve developing deployable prototypes, efficient big data algorithms, and publishing in top-tier venues in databases, machine learning, and data mining. Key responsibilities will include
-
algorithms for resource-efficient hydroponics and evidence-based frameworks for integrating green space exposure for improved student wellbeing. This project will potentially enhance urban food resilience
-
. The organisation is currently working on research project(s) related to the release of a new digital product that conducts optimisation of AI algorithms for sustainable home retrofitting solutions. Opportunity