Sort by
Refine Your Search
-
Listed
-
Employer
- Monash University
- University of New South Wales
- The University of Queensland
- Curtin University
- RMIT University
- UNIVERSITY OF SYDNEY
- University of Adelaide
- La Trobe University
- University of Sydney
- Charles Sturt University
- Macquarie University
- University of Tasmania
- Advance Plants Environmental Science Indigenous Scholarship
- BOND UNIVERSITY
- MONASH UNIVERSITY
- Queensland University of Technology
- UNIVERSITY OF ADELAIDE
- University of Wollongong
- 8 more »
- « less
-
Field
-
staff position within a Research Infrastructure? No Offer Description About the Position Assistant Professor (A/B) or Associate Professor (B) of Artificial Intelligence/Computer Science Bond Business
-
carry out activities to develop their research expertise relevant to the particular field of research. The successful candidate will primarily work on research relating to Artificial Intelligence in
-
Reference Number: 1056890 About the Role: Are you passionate about the responsible and impactful use of artificial intelligence? Do you thrive on leading strategic change and delivering
-
Artificial Intelligence (DSAI). This is more than a leadership role, it’s a chance to help shape the future of research, education, and impact in one of the most dynamic fields of our time. Our Faculty
-
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
-
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