75 phd-in-computer-vision-and-machine-learning PhD positions at Monash University in Australia
Sort by
Refine Your Search
-
PhD Opportunity – Forensic Medicine (Toxicology), Department of Forensic Medicine, School of Public Health & Preventive Medicine Job No.: 688700 Location: 553 St Kilda Road, Melbourne Employment
-
Centre for Health Economics, Monash Business School, PhD Program 2026 Job no.: 625101 Location: Caulfield campus Duration: 4.5-year fixed-term appointment Employment type: Full-time Remuneration
-
annum for outstanding students). Additional financial support is available through research and teaching assistance work. The Opportunity Within the Integrated PhD Program, a PhD opportunity is available
-
, with findings of international relevance across health systems facing similar workforce pressures. Integrated PhD Program The project is based in the Centre for Health Economics (CHE), a large and active
-
to work closely with other leading academics at Monash University, including Professor Carol Propper , A/Prof Terrence Cheng and Dr Danusha Jayawardana . As a candidate in the CHE Integrated PhD Program
-
between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental
-
inference. PhD Program The project is based in the Centre for Health Economics, a large and active economics research group within the Monash Business School in Melbourne, Australia. As a candidate in the CHE
-
awardee. The Opportunity Generative artificial intelligence is a significant and highly visible use of machine learning which has become commonplace in a matter of a few short years. Without common
-
PhD Opportunity - Indigenous (Energy) Job No.: 685291 Faculty: Faculty of Information Technology, Monash Business School and Faculty of Engineering Location: Caulfield or Clayton campuses Duration
-
principles of the Athena SWAN Charter . The Project We invite applications from outstanding PhD candidates with undergraduate or postgraduate qualifications in software/systems engineering, or computer