Sort by
Refine Your Search
-
Listed
-
Employer
- The University of Queensland
- Monash University
- CSIRO
- University of Sydney
- Macquarie University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of Tasmania
- Curtin University
- FLINDERS UNIVERSITY
- Flinders University
- LA TROBE UNIVERSITY
- La Trobe University
- RMIT UNIVERSITY
- UNIVERSITY OF SYDNEY
- University of Adelaide
- RMIT University
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF NEW SOUTH WALES
- 8 more »
- « less
-
Field
-
climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights
-
applying increasingly sophisticated AI technologies to develop practical, responsible and scientifically credible solutions. Building on recent innovations in Generative AI and large language models, you
-
therapy, proteomics, and experimental models ranging from human induced pluripotent stem cell (iPSC)-derived retinal neurons to mouse and donated human tissue. You will be part of a dynamic, collaborative
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
and validation of key personality frameworks, with a particular focus on the HEXACO model and Schwartz's values theory. Collaborate on cultural adaptation of instruments, ensuring conceptual and
-
to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Apply large language models and multi‑agent AI to accelerate crop breeding Integrate
-
, or digital health infrastructure. Knowledge of the Five Safes framework or similar data access models. Ability to work independently and collaboratively in a multi-institutional project environment
-
cereals, field trials, plant/crop modelling, genomics, genetics, crop ecophysiology, and agronomy. Evidence of contribution to successful external grant applications. Experience liaising and collaborating
-
complex analysis using both local and global datasets. applying nutritional geometry analysis apply advanced bioinformatics modelling techniques publish in peer-reviewed journals and present at conferences
-
or chemistry, or applied mathematics. Demonstrated evidence of computational modelling experience, including code development and data analysis. Ideally experience using one or more of the following: Molecular
-
-time equivalent) of relevant research experience. A sound understanding of genetics and genomics methods, especially DNA extractions, library preparation and sequencing of DNA in non-model organisms