Sort by
Refine Your Search
-
the next generation of personalised AI health coaching systems. Students will join a multidisciplinary PhD cohort spanning health, behavioural science, artificial intelligence, data science, and digital
-
around digital technologies for orientation and mobility and particularly the role of Artificial Intelligence in such systems. Undertaking this PhD as part of a larger project has several advantages. First
-
offers the opportunity to contribute to an emerging area of interdisciplinary research that brings together artificial intelligence and advanced materials modelling to address key challenges in
-
candidates for PhD study in the Department of Data Science and Artificial Intelligence at the Faculty of IT, Monash University. As part of this scholarship, the successful candidate will develop novel
-
deployable video analytics technologies. Candidate Profile We are seeking highly motivated applicants with a strong academic background in computer science, data science and artificial intelligence. Applicants
-
candidates with an undergraduate or postgraduate qualification in a computing discipline such as data science, artificial intelligence, machine learning or computer science. which has included training in
-
large datasets and developing experimental techniques, including the use of artificial intelligence. There are also opportunities to be involved in the development and testing of new hardware for the next
-
engineering, X-ray science, and artificial intelligence. Project Details - Start: July 2026 - Graduate research degree: Doctor of Philosophy (PhD) - Location: Clayton campus - Department: Materials Science and
-
science, quantum science and nanotechnology, gaining state-of-the-art expertise in these areas of research. Carbon-based nanomaterials for future electronics, optoelectronics and spintronics Artificial
-
projects that involve data analysis, the application of artificial intelligence, the development of new detection techniques, and the exploration of new experimental methods through collaboration with our