Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- University of New South Wales
- RMIT University
- University of Adelaide
- The University of Queensland
- Curtin University
- University of South Australia
- Macquarie University
- University of Sydney
- Queensland University of Technology
- University of Melbourne
- Australian National University
- The University of Newcastle
- UNIVERSITY OF ADELAIDE
- Flinders University
- The University of Western Australia
- Swinburne University of Technology
- La Trobe University
- University of Technology Sydney
- UNIVERSITY OF MELBOURNE
- Central Queensland University
- Deakin University
- Edith Cowan University
- UNIVERSITY OF SOUTH AUSTRALIA
- UNIVERSITY OF SYDNEY
- University of Western Sydney
- CSIRO
- Southern Cross University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- CHARLES STURT UNIVERSITY
- Nature Careers
- University of Southern Queensland
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Murdoch University
- FLINDERS UNIVERSITY
- Nuclear Science and Engineering Undergraduate Scholarship - Department of Defence
- RMIT UNIVERSITY
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- The University of Adelaide
- UNIVERSITY OF NEW ENGLAND
- UNIVERSITY OF THE SUNSHINE COAST - UNISC
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Kansas Department of Civil, Environmental, and Architectural Engineering
- 33 more »
- « less
-
Field
-
Administrator to be part of the Australian Institute for Machine Learning’s (AIML) award winning Industry Solutions team which develops machine learning algorithms, tests, delivers and maintains software systems
-
commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture
-
as a consequence of other desiderata. In the context of machine learning, many approaches propose to learn simple models since judicious simplicity can lead to good predictions [3,1]. These approaches
-
Overview Join us to make a difference! A highly competitive scholarship to develop new statistical machine learning and data-driven methods to battle social disadvantage in NSW. You will work with
-
Overview Join us to make a difference! A highly competitive scholarship to develop new machine learning, statistics and data-driven methods to battle social disadvantage in NSW. You will work with
-
Computer Science and/or Chemical Engineering or equivalent; 2) Excellent mathematical and programming skills, in particular in the areas of Artificial Intelligence (AI) and machine learning including deep learning
-
on leveraging machine learning and generative AI techniques for proactive mental health monitoring. The project comprises three primary research packages that address distinct aspects of the overall goal
-
. Scientific Contribution Our group has strong publication record of 100+ first or senior author top-tier (ERA ranking A*/A) journals and technical conferences in the machine learning and medical AI field. His
-
Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in many scenarios, including security, privacy, and health
-
, sociological, economic and web data this project will apply machine learning to build a recommendation engine that can provide life advice and predictions to individuals based on their current life situation and