Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Curtin University
- Monash University
- University of Adelaide
- Queensland University of Technology
- La Trobe University
- Swinburne University of Technology
- University of Melbourne
- The University of Newcastle
- Flinders University
- University of Southern Queensland
- Murdoch University
- CSIRO
- Nature Careers
- ;
- AI & Cyber Futures Institute - Charles Sturt University
- Australian Rotary Health PhD Scholarships
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Data61 PhD Scholarships
- James Cook University
- The University of Queensland
- 10 more »
- « less
-
Field
-
AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | about 1 month ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Available Scholarships PhD Student Scholarships: Development
-
expertise in research methodology or willingness to learn. Well-developed computer skills. Application process Expressions of interest are invited to be submitted electronically to Professor Judith Finn via
-
the biological impact of LY49B on embryo development and embryo–maternal communication, using advanced reproductive biology techniques such as oocyte collection, ICSI, and embryo–endometrial organoid co-culture
-
Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
-
scholarship package totaling approximately $47,000 per annum tax exempt (2025 rate). A four year Project Expense and Development package of $13,000 per annum. A 60 day Industry Engagement component with
-
Joint Funding Program. If the application is successful, the applicant will receive a letter of offer and a conditional tuition fee scholarship letter from UniSQ by the end of February 2026. Step 2: Upon
-
, compliance and ESG constraints, developing agents that self-audit and adapt to regulatory change. Translate theory to production and publication. Working closely with our industry partner, you will prototype
-
future autonomous instrument control and self-directed experimentation will be developed, recognizing the challenge presented by the integration of multiple complex systems. Coding and user interface
-
materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
-
materials and we utilise these non-absorbed X-rays to massively increase image contrast and reduce radiation exposure using coherent synchrotron radiation. We have developed these “phase contrast” and “dark