Sort by
Refine Your Search
-
tumour recurs. Immunotherapeutic methods have been successful in treating several solid tumours but have limited efficiency against GBM. The Sonic Hedgehog (HH) pathway plays a crucial role in embryonic
-
for policy, practice and advocacy. The mixed-methods project will use a combination of participatory approaches including but not limited to GIS mapping, stakeholder analysis, network and systems mapping
-
skills. Candidates with a background in mixed – methods, participatory approaches are desired for this project. Must be eligible to enrol in PhD programs at Curtin. Application process Please send your CV
-
testing will be carried out to examine specific aluminization and coating methods for steel and polyethylene, such as Alonizing (or packed-bed cementation) for steel and Physical Vapour Deposition
-
women. Addressing these impacts is crucial for both public health and economic sustainability. This PhD project aims to explore the broad mental health impacts of physical violence on families across
-
, research suggests that in Australia 48% of dementia cases could be prevented through actions to mitigate the seven risk factors addressed in this PhD. Aims The aim is to develop a new public health toolkit
-
Australian Permanent Resident New Zealand Citizen Permanent Humanitarian Visa International Student Scholarship base Merit Based Value The 2026 Curtin University PhD base stipend is $38,400 AUD per annum, tax
-
Status: Closed Applications open: 14/10/2024 Applications close: 30/11/2024 View printable version [.pdf] About this scholarship Description/Applicant information This PhD Scholarship is funded
-
deep learning. The purpose of this scholarship is to support a PhD student to contribute to the advancement of infrastructure monitoring technologies with strong industry collaboration. Student type
-
and the emergence of resistance, the concept of antimicrobial stewardship (AMS) programs have been established to counter these issues in clinical settings. Using systematic methods, AMS aims