Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sydney
- UNIVERSITY OF SYDNEY
- Curtin University
- Monash University
- Macquarie University
- The University of Queensland
- University of Adelaide
- ;
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Swinburne University of Technology
- La Trobe University
- RMIT University
- UNIVERSITY OF ADELAIDE
- University of New South Wales
- Amgen Scholars Program
- CSIRO
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Nature Careers
- Queensland University of Technology
- RMIT UNIVERSITY
- 10 more »
- « less
-
Field
-
program, please sign up to our mailing list. 2. How do I apply? The application process is outlined here. 3. What research projects are available? Research projects are listed on our website 1-2 weeks
-
from standard camera imagery. Such spatial computing applications represent the most significant paradigm shift in human-computer interaction (HCI) since the introduction of graphical user interfaces
-
" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
-
-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
-
part of the Books for the Vision Impaired and the GraVVITAS frameworks (www.monash.edu/it/inclusive-tech). The project will employ computer vision, image processing and human computer interaction
-
Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
-
This project will seek to further the research into and development of machine learning techniques that may be used to triage, classify, and otherwise process material of a distressing nature (such
-
, Melbourne. We are seeking PhD candidates interested in developing methods to assist the formative assessment and improvement of collocated teamwork, by making multimodal activity traces visible and available