Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
an extensive review of literature on human-automation cooperation and decision-making in the context of autonomous driving collaborate with interdisciplinary research teams from QUT and Seeing Machines
-
Status: Closed Applications open: 7/07/2023 Applications close: 25/08/2023 View printable version [.pdf] About this scholarship Description/Applicant information The emergence of Autonomous Vehicles
-
to support business managers in decision-making either in a primary or secondary role. The autonomy of AI systems ranges from semi-autonomous to fully autonomous. As the pace of AI autonomy advances using vast
-
Status: Closed Applications open: 7/07/2023 Applications close: 25/08/2023 View printable version [.pdf] About this scholarship Description/Applicant information The idea of autonomous vehicles (AVs
-
of electrical and mechanical engineering at the University of Adelaide. The University welcomes applications for an open opportunity under this program, for an industry PhD with Minelab. Semi-autonomous Metal
-
effectively in a team and carry out tasks autonomously. Desirable: Demonstrated expertise in the support, development and optimisation of supercomputing applications including GPU-based and distributed
-
with industry and government Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability to confidently and effectively work with
-
be enthusiastic, well-organized, and have excellent oral and written communication skills, as evidenced by publications, including in peer-reviewed journals. An ability to work autonomously and to be
-
alternative funding projects through effective liaison with industry and government Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated
-
. Project goals The objectives of this project are: Study the data-based rapid identification method of landing landmarks to realize the intelligent environment perception of UAV's autonomous landing. A data