Sort by
Refine Your Search
-
Listed
-
Employer
- Monash University
- RMIT University
- Curtin University
- RMIT UNIVERSITY
- The University of Western Australia
- Queensland University of Technology
- University of New South Wales
- ;
- University of New England
- CSIRO
- Central Queensland University
- Deakin University
- Macquarie University
- Advance Plants Environmental Science Indigenous Scholarship
- Flinders University
- Griffith University
- Nature Careers
- Southern Cross University
- The University of Queensland
- University of Adelaide
- University of South Australia
- University of Sydney
- University of Wollongong
- 13 more »
- « less
-
Field
-
Artificial Intelligence (AI) models are widely used in decision making procedures in many real-world applications across important areas such as finance, healthcare, education, and safety critical
-
this question into several independent questions. This project will also contribute to an effort at Monash University in developing neuro-symbolic artificial intelligence methods. Required knowledge This project
-
Antimicrobial resistance (AMR) is one of the most significant and immediate threats to health in Australia and globally. We are working on harnessing new technologies such as artificial intelligence
-
intelligence techniques (e.g., Deep Learning, Statistics, ML, Optimization) in order to (1) understand the nature of critical software defects like vulnerabilities; (2) predict; (3) highlight vulnerable code; (4
-
Artificial Intelligence (AI) is revolutionizing the field of Magnetic Resonance Imaging (MRI) by enabling faster, more accurate, and cost-effective image reconstruction. This project explores
-
working on harnessing new technologies such as next-generation sequencing and artificial intelligence to improve the diagnosis, treatment and prevention of AMR infections. The specific aims of this project
-
Project description: On behalf of the Victorian Orthopaedic Trauma Outcomes Registry (VOTOR), we will establish the role of artificial intelligence (AI) deep learning to improve the prediction
-
integration patterns, data validation frameworks, and data quality management Experience working with Artificial Intelligence/Machine Learning data requirements and establishing data pipelines for automated
-
Science & Artificial Intelligence (DSAI) Interaction, Technology & Information (ITI) Our PhD students and faculty conduct world leading research in many areas of Computing and Computing applications
-
the Faculty of Science within the UNSW Artificial Intelligence Institute which aims to cultivate and promote foundational and applied research in AI and related areas. The Lecturer (Level B or Senior Lecturer