Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- The University of Queensland
- University of Sydney
- University of Adelaide
- Curtin University
- University of Southern Queensland
- CSIRO
- La Trobe University
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF WESTERN AUSTRALIA
- University of New South Wales
- Australian National University
- BOND UNIVERSITY
- Macquarie University
- The University of Western Australia
- UNIVERSITY OF ADELAIDE
- 6 more »
- « less
-
Field
-
at prediction and pattern recognition tasks but still fails at very simple planning and decision-making problems. This project will develop predictive and prescriptive analytics algorithms that combine
-
formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
-
This project develops quantum-AI tools to optimise urban hydroponic food systems and evaluate their therapeutic impact on student well-being. The expected outcome is to create quantum-reinforced AI
-
the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and
-
research in computational pure mathematics through the development of mathematical software Base Salary, Academic level A/B $109,263 - $151,328 + 17% superannuation About the opportunity The School
-
aims to leverage quantum computing to address these challenges, focusing on developing novel quantum algorithms to enhance mRNA sequence design You will be co-supervised by leading experts in AI, data
-
, Massachusetts. Your key responsibilities will be to: design and implement mathematical algorithms, and facilitate their integration into Magma engage with users, researchers, and developers, both internally
-
these challenges, calling for the development of responsible AI systems that are transparent, trustworthy, and aligned with human values in educational contexts. This PhD project aims to design, develop, and
-
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
-
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