-
History, Engineering, Environmental Protection, Fine Arts, Genomics, Geophysics, Indigenous Affairs, Mathematics, Population Health, Public Policy, Statistics, Sustainability, Unmanned Aircraft Systems, and
-
in mathematics, data science, planetary science, physics or engineering. The applicant should have achieved first-class honours in a relevant undergraduate degree and be able to demonstrate experience
-
. Experience in mathematics, statistics, and simulations is also useful. Application process This project has identified a preferred candidate and is no longer available. Please review remaining scholarships
-
Planetary Sciences and School of Electrical Engineering, Computing and Mathematical Sciences. SMAAT uses computer-vision and machine-learning techniques to automatically detect and extract speech kinematic
-
Status: Closed Applications open: 10/01/2023 Applications close: 30/06/2023 View printable version [.pdf] About this scholarship Description/Applicant information The space domain from Low Earth Orbit to Geosynchronous Orbit is the environment in which an increasing number of expensive and...