Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- RMIT University
- University of Tasmania
- CHARLES STURT UNIVERSITY
- Curtin University
- Monash University
- University of New South Wales
- The University of Queensland
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- RMIT UNIVERSITY
- ADELAIDE UNIVERSITY
- CNRS
- Edith Cowan University
- MONASH UNIVERSITY
- The University of Newcastle
- University of Adelaide
- Victoria University
- WESTERN SYDNEY UNIVERSITY
- 7 more »
- « less
-
Field
-
restoration, equity and distributional impacts of environmental policy, and experience with workshops, expert elicitation, or co-designed research. Overall, the candidate ideal candidate would be analytically
-
, control, and planning algorithms under environmental constraints. - Implementation of distributed simulation architectures (client-server, remote computing). - Analysis of simulation data and comparison
-
material, such as event proposals, run sheets, briefing notes and guest lists and ensure these are distributed in a timely manner. Collaborate with Advancement colleagues on pre‑ and post‑event
-
datasets to generate insights into infrastructure demand, capacity, performance, and spatial distribution. This includes developing and maintaining data pipelines for high-volume infrastructure and spatial
-
receiving, storage, processing and distribution. Assist with zebrafish husbandry and maintenance and support staff and students conducting experiments with this model system. Conduct cell culture of mammalian
-
. Leadership experience in distributed teams, including leading meetings, committees and workshops to deliver agreed activities. Experience in improving unit and course content to create contemporary learning
-
Criteria Demonstrated leadership in establishing data governance frameworks and operating models in complex, regulated environments. Proven ability to lead distributed data teams or communities of practice
-
previously distributed strengths across schools, and research centres, creating a cohesive platform that elevates Curtin’s leadership in materials innovation. The Institute serves as a central gateway for
-
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
-
electric vehicles using AI technology. The role aims to advance thermal performance through innovative energy distribution and waste heat recovery strategies. The Postdoctoral Research Fellow will undertake