202 phd-studenship-in-computer-vision-and-machine-learning positions at University of Adelaide
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
These scholarships are funded by the Australian Research Council (3) and the University of Adelaide (1) to support 4 full-time PhD students who are undertaking research in the field of battery
-
science or (applied) machine learning, decision making, and other closely related area. Expertise and experience in computer programming, especially in Python and C++. The path to Adelaide University We
-
, contributing to ground-breaking discoveries with real-world implications for cancer patients. To be successful you will need: A PhD in (awarded or near completion) in Computational Biology, Computer
-
These scholarships are funded by the Australian Research Council (3) and the University of Adelaide (1) to support 4 full-time PhD students who are undertaking research in the field of battery
-
The Adelaide Graduate Research School (AGRS) and the Royal Geographical Society of South Australia are partnering to create three internship opportunities for University of Adelaide PhD students
-
. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics, Chemistry and Earth Sciences
-
decision making in contested and dynamic environments, involving extensively applied work at the intersection of data fusion, decision making and machine learning, with real-world testing and feedback
-
, and communities. To be successful you will need: To be a bold, strategic leader with the vision, courage, and credibility to drive long-term change in the systems that support children, young people
-
allow the team to develop lung function-based respiratory biomarkers through the application of artificial intelligence, machine learning and image processing technologies to lung ventilation data
-
contribution of 17% superannuation applies. Fulltime fixed term position, available until end of December 2027. An exciting entry level research opportunity best suited to a recent PhD graduate (or soon to be