Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- Curtin University
- Australian National University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- RMIT University
- RMIT UNIVERSITY
- Victoria University
- Macquarie University
- Queensland University of Technology
- The University of Western Australia
- UNIVERSITY OF WESTERN AUSTRALIA
- University of New South Wales
- CSIRO
- Central Queensland University
- La Trobe University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- University of Adelaide
- University of Melbourne
- University of South Australia
- University of Western Sydney
- Zonta International Women in Business Scholarship
- 12 more »
- « less
-
Field
-
an opportunity to develop a strong research profile and gain national recognition in the field. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and
-
? For further information relating to the position, please contact the Vice Chancellor’s Research and Impact Fellowship Scheme program team at vcrif@vu.edu.au Our Commitment to Protecting Country: Victoria
-
, preferably gas fermentation. Key responsibilities will include: Research: Contribute to an established research program in gas fermentation, collaborate on research projects, seek and manage research funding
-
cross-disciplinary and specialist Institutes and Centres. Staff and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses
-
research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities. To find out more about the
-
. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
-
-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing
-
science capabilities to form School of Earth and Planetary Sciences: The School provides world-class training for geoscientific and geospatial careers through our industry-recognised teaching programs, and
-
programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
-
program, contributing to service and engagement activities, and mentoring the next generation of researchers through effective student supervision. This position presents a unique opportunity for an