Sort by
Refine Your Search
-
Listed
-
Employer
- The University of Queensland
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian National University
- CSIRO
- Curtin University
- Monash University
- Nature Careers
- RMIT UNIVERSITY
- RMIT University
- The University of Western Australia
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Adelaide
- University of Melbourne
- University of New South Wales
- University of Western Sydney
- 5 more »
- « less
-
Field
-
project focused on developing a digital twin of a poultry breeding program. The project aims to investigate novel prediction technologies and alternative breeding program designs to create and prioritise
-
. The role focuses on leveraging data from a variety of characterisation technologies to develop predictive insights into the metallurgical and geoenvironmental properties of orebodies. The Research Fellow
-
, plant, livestock, and atmosphere processes. In this role, you will support the development and delivery of predictions of wood products, carbon and water use for the Australian forest plantation sector
-
studies. Manage technical assistance to sample and analysis field trials. Develop trait predictions for high throughput phenotyping analysis. Produces quality research outputs consistent with discipline
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
, along with experience using high-performance computing environments, is required, and experience using structure prediction or AI methods is desirable. Working at ANU This is an opportunity to work with a
-
biomolecules. Proficiency in programming or scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction
-
to lead to improved predictive design of biomass crops for the production of sustainable aviation fuel. The postdoc will also co-supervise PhD students and Honours students. To be successful you will need
-
technologies (e.g., 5G) for industrial automation and remote operations. Track record of successful competitive grant applications. Experience in postgraduate student supervision. Experience with predictive
-
forecasts of soil moisture and plant traits. Your work will be critical in delivering an early warning system for bushfire risk, enhancing the ability to predict and manage these natural disasters
-
for disease prevention and control. ODeSI has extensive experience in operational research and field surveys (including international projects), predictive risk mapping and modelling (spatial epidemiology