Sort by
Refine Your Search
- 
                Listed
- 
                Employer- The University of Queensland
- University of Sydney
- Australian National University
- Curtin University
- Monash University
- UNIVERSITY OF WESTERN AUSTRALIA
- University of New South Wales
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- RMIT University
- The University of Western Australia
- UNIVERSITY OF SYDNEY
- 1 more »
- « less
 
- 
                Field
- 
                
                
                Massachusetts Institute of Technology (MIT) in Cambridge, Massachusetts. Your key responsibilities will be to: design and implement mathematical algorithms, and facilitate their integration into Magma engage with 
- 
                
                
                , 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 
- 
                
                
                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 
- 
                
                
                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 
- 
                
                
                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 
- 
                
                Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months agoto: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig 
- 
                
                
                validation of advanced algorithms for disease detection, contributing to Australia’s data-driven crop health monitoring systems. This work will support sustainable crop production and enhance national 
- 
                
                
                , TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based 
- 
                
                
                implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based approaches. Proven ability to design and run rigorous experimental frameworks, including