Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
presentations. Contribute to grant applications for competitive funding opportunities. Who we are looking for (Selection Criteria): Essential: PhD (or near completion) in Geophysics or a related field or an
-
Full-time enrolment in a PhD program at Curtin University Background in artificial intelligence, computer vision, or structural/civil engineering Demonstrated research experience, with evidence of
-
past two years (2023 or after). Completion of a research component in an Honours, Masters or PhD program within a creative arts/performing arts discipline, or proven practitioner research experience and
-
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
-
part of the scholarship. Scholarship Details Maximum number awarded 1 Eligible courses Any HDR student wishing to study in the Health field Eligibility criteria Full-time enrolment in a PhD program at
-
for – Selection Criteria: Essential: A PhD in remote sensing, geoinformatics, computer vision, or a related discipline. Demonstrated expertise in hyperspectral remote sensing, including pre-processing (e.g
-
utilising various instructional methods - such as online, distributed, and face-to-face activities - to enhance student learning. Educators are expected to collaborate on curriculum design, assess student
-
: Essential: Education & Qualifications PhD in Computer Science or a related field. Recognised standing as a leading authority in AI or Data Science. Teaching & Mentorship Demonstrated excellence in tertiary
-
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
-
the development of cutting-edge research infrastructure for the Climate Action in Transport and Land Use Planning (CATLUP-I) program, delivered through the AURIN WA Node at the Planning and Transport Research