Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of New South Wales
- RMIT University
- Curtin University
- RMIT UNIVERSITY
- University of Tasmania
- Monash University
- ADELAIDE UNIVERSITY
- La Trobe University
- UNIVERSITY OF SYDNEY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- SOUTHERN CROSS UNIVERSITY
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- The University of Newcastle
- The University of Queensland
- Amgen Scholars Program
- BOND UNIVERSITY
- CNRS
- NATIONAL ART SCHOOL
- Nature Careers
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- The University of Western Australia
- UNIVERSITY OF TASMANIA
- UNIVERSITY OF THE SUNSHINE COAST - UNISC
- UNIVERSITY OF WESTERN AUSTRALIA
- Victoria University
- WESTERN SYDNEY UNIVERSITY
- 17 more »
- « less
-
Field
-
PhD Scholarship This PhD project will develop an Australian-focused modelling framework to assess carbon and biodiversity market designs, comparing environmental and economic outcomes to inform
-
data, integrating multiple data sources, and supporting analytical modelling that informs infrastructure planning and policy. The position emphasises robust data engineering practices, reproducible
-
PhD Scholarship This project will use existing modelling and planning tools to evaluate and refine global carbon and biodiversity market design strategies. The student will gain expertise in
-
Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
-
, integrated, and sustainable data and analytics operating model that enables confident decision‑making, regulatory assurance, and institutional performance. This involves developing a data driven culture and
-
community and beyond Build practical expertise in molecular genetics, cell culture, plasmid assembly, sequencing, and zebrafish models Full time, fixed term position for 3 years based in Hobart About the
-
development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation models for maritime, aerial, and
-
to contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models. Working closely with leading researchers, you will design, develop, and implement
-
experience in interdisciplinary leadership and bring: A track record of successfully fostering collaboration with partners and networks to achieve real world impacts and implement impact-driven delivery models
-
implement impact-driven delivery models within a diverse research environment. Experience developing, leading or managing complex research initiatives, programs or strategic portfolios. A passion for