Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Sydney
- UNIVERSITY OF SYDNEY
- Macquarie University
- University of New South Wales
- ADELAIDE UNIVERSITY
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Monash University
- The University of Queensland
- The University of Western Australia
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Melbourne
- University of Tasmania
- 2 more »
- « less
-
Field
-
Full time, fixed term for 1.5 years Apply your expertise in electrochemical device development and chemical process design to advance sustainable technologies Base Salary $113,634 - $125,896 + 17
-
to reports, conferences and potential IP development Assist in preparing journal publications, conference presentations and grant applications Supervise and mentor higher degree research students where
-
Christmas holidays Career development opportunities Up to 50% discount on UNSW courses Flexible 17% Superannuation contributions, additional leave-loading payments and salary sacrifice. Discounts and
-
no direct reports. Responsibilities Summary: Conduct and coordinate research activities to the highest scientific and ethical standards. Contribute to the conceptual development of research questions and
-
learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing
-
in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing systems, data collection
-
are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters A Postdoctoral Researcher – Soft Glass and Fibre Development position is available within
-
options Training and professional development Onsite childcare facilities Discounted health insurance (Medibank) Onsite vacation care Employee Assistance Program Subsidised membership at the Sport & Aquatic
-
David Levinson , the successful candidate will contribute to the development of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making
-
digital twin capability for complex urban and infrastructure and urban systems. Working under the supervision of Professor David Levinson , the successful candidate will contribute to the development