Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of New South Wales
- University of Sydney
- UNIVERSITY OF WESTERN AUSTRALIA
- Macquarie University
- Monash University
- CSIRO
- RMIT University
- The University of Western Australia
- Curtin University
- FLINDERS UNIVERSITY
- Flinders University
- LA TROBE UNIVERSITY
- La Trobe University
- RMIT UNIVERSITY
- University of Adelaide
- University of Tasmania
- CURTIN UNIVERSITY
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF SYDNEY
- Zonta International Women in Business Scholarship
- 12 more »
- « less
-
Field
-
candidate will contribute to projects on flow-ecology relationships and habitat suitability modelling for freshwater organisms and will be comfortable working with large datasets, including spatial
-
working with large datasets, including spatial information, hydrologic data and survey records. Skills and Experience To be considered for this position, you will have: completed a PhD or equivalent
-
for Big Data Research in Health (CBDRH), strategically partnered with the School of Clinical Medicine (Women’s Health) at the University of New South Wales, Sydney (UNSW). This positioning places the NPESU
-
the application of analytic techniques to longitudinal or large mental health data sets or biobanks a strong applied research orientation with a proven ability to build successful working relationships with a
-
and data interoperability challenges in an applied environmental field, experience working with environmental/hydrological data Demonstrated experience working with Generative AI and Large Language
-
workflows, including troubleshooting, iterative method development, and data-informed protocol refinement. Strong analytical skills, with demonstrated ability to manage and interpret large eDNA datasets
-
workflows, including troubleshooting, iterative method development, and data-informed protocol refinement. Strong analytical skills, with demonstrated ability to manage and interpret large eDNA datasets
-
processing, such as decision making, situation awareness, information seeking, etc. Demonstrated experience in designing and running large-scale human behavioural experiments. The successful candidate may be
-
Paper (Geoscience Characterisation (data acquisition, integration, and modelling), Rock Mass Conditioning technologies, Geo-risk Management and hazard modelling, Material Flow in Deep Cave Mines, Mining
-
26 Nov 2025 Job Information Organisation/Company UNIVERSITY OF WESTERN AUSTRALIA Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country