Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- Curtin University
- RMIT University
- James Cook University
- La Trobe University
- University of Adelaide
- Macquarie University
- CSIRO
- Queensland University of Technology
- Victoria University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian National University
- Flinders University
- University of New South Wales
- University of Sydney
- Charles Sturt University
- Edith Cowan University
- Nature Careers
- The University of Queensland
- Torrens University Australia
- UNIVERSITY OF SYDNEY
- University of Southern Queensland
- American Australian Association Indigenous Veteran's Fund
- CURTIN UNIVERSITY
- Evolving Digital - Digital Innovation Scholarship
- FLINDERS UNIVERSITY
- Federation University Australia
- Murdoch University
- Swinburne University of Technology
- The University of Western Australia
- University of Tasmania
- 21 more »
- « less
-
Field
-
species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species’ distribution shifts via “data
-
career trajectories. The goal is to design better incentives for scientists to produce their best work. Our research group studies how groups of agents can learn to cooperate. Most of our research focuses
-
Authorised by: Marketing, Faculty of IT , Monash University . Maintained by: Marketing, Faculty of IT . Copyright © 2024 Monash University. ABN 12 377 614 012 Accessibility - Disclaimer and copyright - Privacy , Monash University CRICOS Provider Number: 00008C, Monash College CRICOS Provider...
-
The Multi-Agent Path Finding (MAPF) is a combinatorial problem in which agents must find a path from a start to a goal location without colliding with each other. The optimisation group at Monash is
-
The multi-agent path finding problem (MAPF) asks us to find a collision-free plan for a team of moving agents. Such problems appear in many application settings (including robotics, logistics
-
– an essential component of a conversational agent that supports blind people in achieving data literacy. In this project, candidates will use a new generation dynamic tactile display as a modality in
-
interpretation and faster decisions for families. This work is already underway in our lab. We’re assembling a strike team of three exceptional postdoc researchers to design autonomous discovery systems
-
Login Recently added Indigenous (Energy) Explainability of Reinforcement Learning Policies for Human-Robot Interaction Decision AI for biodiversity Development of a GIS-Based Model for Active Citizenry
-
therapeutic agent. Large number of assays will be utilized. Project Area: Alzheimer’s Disease Supervisor(s): Dr Binosha Fernando, Professor Ralph Martins Project level: Masters, PhD School / Research Centre
-
Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors