Sort by
Refine Your Search
-
Status: Open Applications open: 25/11/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information The CSIRO Industry PhD Program
-
to a maximum of 3.5 years and Tuition Fees offset support. Scholarship Details Maximum number awarded 1 Eligible courses Any student eligible to study a PhD focused on Chemical Engineering. Eligibility
-
collaborator, Kurloo, based in Brisbane, Australia and be involved in the commercialisation pathway for the research outcomes. Useful Information CSIRO industry PhD project description 8558.pdf Scholarships
-
of the STAMP RSV Program, supported by the Stan Perron Charitable Foundation. The PhD candidate will play an important role in developing models of RSV transmission and vaccination efficacy to inform
-
) implement the COMPAS survey across two waves at St John Ambulance, (c) develop a predictive algorithm that can predict suicidal intentions and behaviours 12 months later, (c) use the algorithm to stratify
-
an ARC Discovery Project in conjunction with support from Curtin University. The purpose of the scholarship is to support a PhD student to carry out research in quantum collision theory. Currently
-
. This PhD project, partnering with the Inclusive Design Collective on the ARC funded mid-career industry fellowship (IM240100147), investigates how people with disability navigated digital platforms during
-
Council) PhD scholarships are funded via the ARC discovery project “Modelling, Design and Development of a Novel Wave-Energy Converter”. The purpose of these scholarships is to support outstanding students
-
on full-time studies, for up to a maximum of 3.5 years and Tuition Fees offset support. Scholarship Details Maximum number awarded 1 Eligible courses Any student eligible to study a PhD focused on Chemical
-
novel opportunity to automate and improve the frailty assessment process, aiming for greater consistency and predictive accuracy. Aims i) Develop a deep learning algorithm to autonomously detect and