Sort by
Refine Your Search
-
Category
-
Employer
- University of Sydney
- Macquarie University
- UNIVERSITY OF SYDNEY
- The University of Western Australia
- University of New South Wales
- ADELAIDE UNIVERSITY
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Melbourne
- University of Tasmania
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Monash University
- 1 more »
- « less
-
Field
-
of creating robust radio frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding
-
fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in conducting research. You
-
analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and microkinetic models where appropriate
-
Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
-
XRD, and the analysis of complex materials datasets · proficiency in quantitative analysis, computational methods and programming, with experience in AI, machine learning or data-driven materials
-
Infrastructure? No Offer Description Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining
-
conduct research independently and collaboratively as part of a research team, contributing to discipline knowledge through research outputs, presentations and engagement with academic and professional
-
engineering. To learn more about the School click here We are currently seeking a Postdoctoral Research Associate in Additive Manufacturing and Advanced Materials Characterisation to join a highly collaborative
-
landfill. We are looking for a passionate researcher who can undertake mechanical design, design and conduct experiments, learn quickly, solve complex problems, develop innovative solutions, and contribute
-
advances in machine learning and real-time control fabricate robust instrumentation or photonic components for use at 8m-class and future ELT-class observatories perform lead roles instrument development