Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sydney
- Macquarie University
- UNIVERSITY OF SYDNEY
- Monash University
- RMIT University
- The University of Queensland
- University of New South Wales
- Charles Sturt University
- La Trobe University
- Queensland University of Technology
- ADELAIDE UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Curtin University
- Deakin University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- RMIT UNIVERSITY
- University of Adelaide
- Amgen Scholars Program
- CHARLES STURT UNIVERSITY
- CSIRO
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Edith Cowan University
- Indigenous Time at Sea Scholarship
- James Cook University
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- The University of Sydney;
- The University of Western Australia
- UNIVERSITY OF MELBOURNE
- University of Tasmania
- Youi Student Grant
- 20 more »
- « less
-
Field
-
explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
-
; wireless sensor networks; green communications; next generation wireless broadband networks; signal processing and acoustics; digital image processing; structural health monitoring and underwater
-
-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
-
‑edge imaging research. In this hands‑on specialist role, you’ll operate, maintain and optimise our advanced optical, fluorescence and confocal systems while delivering high‑quality research support, user
-
. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
-
analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
-
their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
-
Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research
-
and a map can be seen on a computer screen in the background] [Image changes to show a male standing next to a multi-corer and smiling at the camera] [Image changes to show four researchers standing
-
Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where