Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Swinburne University of Technology
- Macquarie University
- Curtin University
- Monash University
- The University of Queensland
- University of Adelaide
- RMIT University
- CSIRO
- Queensland University of Technology
- Amgen Scholars Program
- Charles Sturt University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- RMIT UNIVERSITY
- The University of Western Australia
- UNIVERSITY OF MELBOURNE
- University of New South Wales
- Australian National University
- La Trobe University
- Nature Careers
- The University of Newcastle
- Torrens University Australia
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF WESTERN AUSTRALIA
- 13 more »
- « less
-
Field
-
to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research
-
: {asset_metadata_UON.PhDScholarships.Supervisor} Available to: {asset_metadata_UON.PhDScholarships.AvailableTo} Eligibility Criteria Application Procedure {asset_metadata_UON.PhDScholarships.ApplicationProcedure} Applications Close Apply Now PhD
-
models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques
-
systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
-
part of an innovative project that not only benefits the construction industry but also sets a precedent for using technology to bridge gender gaps in various sectors. Eligibility You will need to: meet
-
fall detection would be from video as it does not require wearing a device and remembering to charge it and so on. But computer vision-based falls detection in the elderly can be problematic due
-
revolutionized the field of artificial intelligence, leading to remarkable advancements across many applications ranging from image classification to natural language processing. Despite these successes
-
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
-
development lifecycle greatly improves its quality and productivity. Here calls for a systematic development lifecycle for the DL systems. Due to the fundamentally different programming paradigm and logic
-
and communication skills in healthcare. You will use sensor-technology to capture multimodal ‘trace’ data including gestures, speech, workspace spatial layout and manual handling of objects. You will