Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
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
-
, seminars and to the development of the innovative 2009 Australian Piling Code. Beyond his professional accomplishments, David excelled in many areas. He was admired for his academic achievements and his
-
of Health and offers bachelor degrees in pharmacy, podiatry, paramedicine, medical imaging, radiation therapy, and postgraduate courses in ultrasound and podiatry, as well as research Masters and PhDs
-
. Knowledge or experience of Robot Operating System (ROS), tools for training and using deep learning algorithms and in image processing and computer vision algorithms and solutions using open-source software
-
expert-level understanding of Git and software revision control and code deployment best practices; proven ability to design and develop automated code deployment scripts. Proven experience leading a
-
to the use of your image and testimonial in various media and marketing materials. You can't: hold any other scholarship, except an Equity Scholarship. If you have any questions about holding other
-
Pathways to teaching (EQuIPT) program Consent to the use of your image and testimonial in various media and marketing materials. You can't: Hold any other scholarship, except an Equity Scholarship. If you
-
completion of an approved Leave of Absence period you no longer hold a valid Australian international visa you engage in behaviour that breaches the QUT Student Code of Conduct, where if proven would be
-
to develop this prototype into an ambulance-ready device, ready for deployment in large-scale clinical trials. This work has been supported by The Prince Charles Hospital Foundation and aims to create real
-
Samford Ecological Research Facility VISER Allied facilities Advanced Robotics for Manufacturing Hub Herston Imaging Research Facility Translational Cell Imaging Queensland Translational Research Institute