667 systems-science-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Monash University in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Arts and Literature
- Law
- Science
- Education
- Materials Science
- Linguistics
- Biology
- Humanities
- Mathematics
- Environment
- Philosophy
- Design
- Earth Sciences
- Psychology
- Sports and Recreation
- Chemistry
- Electrical Engineering
- Social Sciences
- 13 more »
- « less
-
Creating efficient and beneficial user agent interaction is a challenging problem. Challenges include improving performance and trust and reducing over and under reliance. We investigate
-
principles must the task choice be based for this to work? These questions are central to explaining the organisation of natural societies, from insects to humans, and to engineering self-organised systems
-
. This project is ideal for candidates with a strong background in cybersecurity, blockchain technology, or cryptography, who are interested in advancing the security of emerging financial technologies. 4o
-
impact in resolving the global challenges of our age. The Faculty of Medicine, Nursing and Health Sciences is globally recognised for its leadership in health research and education. At the Alfred precinct
-
, including documentation, data, and reporting systems It would be advantageous if you also have: Postgraduate qualifications in laboratory animal science, veterinary science, public health, or a related field
-
The Australian Research Council (ARC) Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA) is seeking applications for ten ARC fully-funded PhD projects
-
inside cold clouds of gas and dust, but these clouds are messy, complex, and difficult to observe in full. A lot of my work is about building and analysing better maps of this material so that we can
-
management of laboratory animals, ensuring optimal welfare outcomes while supporting researchers with accurate data and expert technical services. This is a rewarding opportunity to contribute to meaningful
-
Identifying vulnerabilities in real-world applications is challenging. Currently, static analysis tools are concerned with false positives; runtime detection tools are free of false positives but
-
intelligence (XAI). This project will build on the methodology of formal explainable AI (FXAI) and aim at advancing FXAI technology and broadening its use by seeking (1) how to efficiently represent an AI system