Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- RMIT University
- Curtin University
- Charles Sturt University
- The University of Queensland
- University of Adelaide
- CSIRO
- Queensland University of Technology
- University of New South Wales
- Australian National University
- Edith Cowan University
- Macquarie University
- RMIT UNIVERSITY
- University of Western Sydney
- Central Queensland University
- Flinders University
- University of Sydney
- Federation University Australia
- James Cook University
- Southern Cross University
- Swinburne University of Technology
- University of Southern Queensland
- University of Tasmania
- Amgen Scholars Program
- Australian Academy of Science Research Funding
- Brisbane Catholic Education Aboriginal and Torres Strait Islander Student Teaching Scholarships
- Deakin University
- La Trobe University
- Murdoch University
- UNIVERSITY OF MELBOURNE
- University of New England
- University of South Australia
- University of Wollongong
- 23 more »
- « less
-
Field
-
interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
-
PhD Scholarship for a Design-Led Research Program on the Future of CT Imaging in Distributed Care Job No: 680923 Location: Caulfield campus Employment Type: Full-time Duration: 3-year fixed-term
-
healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
-
. #sustainability Project description For distributed renewable micro-grids to become a mature technology, the economics and the reliability have to be equal to or better than today’s distribution grids. The PhD
-
Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Algorithmic systems
-
In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
-
-preserving trustworthy distributed machine learning. In this research, the successful candidates will focus on mathematical backgrounds involved in differential privacy to devise novel scalable approaches
-
opportunities for advancements in the entire hydrogen value chain, including production, transport, and distribution. The transportation of hydrogen to consumers poses a significant challenge, and the current gas
-
to contemporary challenges while mentoring the next generation of leaders. Building on its strong foundation in Optics and Photonics, EECS is expanding its research into quantum algorithms and their industrial
-
Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve