Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Arts and Literature
- Law
- Science
- Education
- Linguistics
- Materials Science
- Biology
- Mathematics
- Philosophy
- Humanities
- Environment
- Psychology
- Chemistry
- Design
- Sports and Recreation
- Earth Sciences
- Electrical Engineering
- Social Sciences
- 13 more »
- « less
-
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
-
Australians, it’s not surprising how hard it is to have access to dermatologist expertise. Solution: We aim to develop AI model that is equipped with specialist expertise to help improve diagnosis accuracy
-
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
-
Geopolitical Security) as outlined in Impact 2030 . The scholarship is available to support students with living costs whilst studying at a Monash campus in Australia. Applications closes 31 October each year
-
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
-
knowledge that positively impacts the world. Monash University’s research support services in Animal Ethics support research activities in biomedical research, pharmaceutical sciences, and ecology and
-
The Koto Dream Scholarship Achieving Potential International Scholarship The Koto Dream Scholarship is designed to support outstanding Know One, Teaching One (KOTO) alumni who demonstrate strong
-
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
-
background in AI/ML, data science, or signal processing Interest in music informatics, emotion modelling, or multimodal AI Ability to implement and evaluate machine learning models independently Commitment
-
analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images