Sort by
Refine Your Search
-
Masters of Artificial Intelligence and Machine Learning COMP SCI 7205A - Artificial Intelligence and Machine Learning Research Project A in Trimester 3, 2025 AND COMP SCI 7205B - Artificial
-
their Master's degrees in AI and machine learning. Join AIML's research community and contribute to shaping the future of industrial AI. This innovative program is supported by the South Australian Government
-
computer science Have experience in Applied Machine Learning and AI Only applicants who currently reside in Australia are eligible to apply Application process To express your interest to be involved with
-
years of full-time study in the following engineering disciplines or computer science, awarded with honours: Mechanical, Mechatronics, Electronics or Computer Engineering b) Meet participating university
-
offering solutions to complex problems and creating new possibilities. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future
-
to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . The Opportunity A collaborative Master's by Research project between CSIRO Manufacturing and Monash
-
researchers in the Centre for Vision and Eye Research using state-of-the-art ophthalmic equipment, to undertake an exciting project exploring characteristics of children with pre-myopia. Eligibility You need
-
or above (or equivalent) Benefits Master of Public Policy and Management (A6033) - We have a number of scholarships available for this program between 30% , 50% and 100% of the tuition fees. Master of Data
-
36CP per semester) remaining on plan. or be a full-time student in a 1.5 or two year Master of Business program at QUT have achieved a minimum overall GPA of 4.5 at time of application either have two
-
(e.g., C++, Unity, Python) a background or interest in human-computer interaction, gender studies, and/or construction familiarity with qualitative and quantitative research methods. How to apply We