Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- University of New South Wales
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of Sydney
- RMIT University
- The University of Queensland
- UNIVERSITY OF SYDNEY
- Murdoch University
- Queensland University of Technology
- The University of Newcastle
- UNIVERSITY OF WESTERN AUSTRALIA
- CSIRO
- Curtin University
- La Trobe University
- Macquarie University
- The University of Western Australia
- UNIVERSITY OF MELBOURNE
- University of Southern Queensland
- WESTERN SYDNEY UNIVERSITY
- 9 more »
- « less
-
Field
-
emissions”, which is funded by the Trailblazer for Renewables and Clean Energy (TRaCE) and industry partner, CounterCurrent Pty Ltd. The project builds upon the prototype ship route optimization algorithm
-
, TensorFlow, or JAX) Experience with photonic design techniques and global optimisation algorithms (Genetic Algorithms, Particle Swarm, Gradient Descent) Experience implementing deep learning architectures
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
interface to humans with varying expertise in real-world responsible AI scenarios. The successful candidate will design and develop new AI algorithms and systems, engage with a dynamic research group within
-
of masculinity, especially in relation to younger male audiences. The successful applicant may explore such questions as: What drives engagement with manosphere communities? How do algorithmic systems and platform
-
-autonomous systems, and their applications to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength
-
Research Associate in Logical Foundations of Planning. In this role you will work closely with Dr Rubin on research projects, and contribute to the collegial culture of the Sydney Algorithms and Computing
-
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
-
algorithm that allows accurate simulation of fluid transport processes in porous media coupled with chemical reactions (e.g. dissolution and precipitation). The algorithm will be validated firstly against
-
estimation methods for deep neural networks. A principled Bayesian framework for multimodal uncertainty modeling. Robust learning algorithms under missing modalities and distribution shifts. New uncertainty
-
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