-
What you'll receive You'll receive: a stipend scholarship of $33,637 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to 6 months if approved for your candidature. This is the full-time, tax-exempt rate which will index...
-
resulted in many models of limited effectiveness. This project proses to take a Systems Architecture and Systems Engineering approach to neuropathic pain. Systems Architecture and Engineering is used
-
innovative research in a QUT - Doctor of Philosophy (hosted by Faculty of Science). Eligibility You must: meet QUT’s academic and English language entry requirements found on the QUT - how to apply page
-
research in QUT's Faculty of Science . Eligibility You must: identify as female be either a domestic student, an onshore international student or an offshore international student who already holds study
-
July 2025 have a master’s degree in data science, computer science, operational research, transport engineering, or related discipline have a strong background in data science, machine learning
-
complete any other CSIRO requirements. Ideally, the applicant will have: a bachelor’s degree in chemistry, chemical engineering, material science or engineering or relevant fields. Preference will be given
-
2025. You should have a background and strong interest in environmental management, biodiversity conservation, and/or sustainability. Experience in the social sciences and/or economics would also be
-
Project, a range of skills and experience will be considered including: a background in health, data science, law, gerontology, occupational therapy, or psychology strong quantitative and qualitative skills
-
to recruit a student to take up the scholarship and begin full-time study in July 2024. You will have: a background in a relevant computer science, social science, or humanities discipline, such as machine
-
applications in engineering areas. additional background or experience in machine learning, data analytics, and other computer science areas would be an advantage experience in power system simulation software