Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Melbourne
- Monash University
- University of Adelaide
- Curtin University
- La Trobe University
- Queensland University of Technology
- University of Southern Queensland
- Murdoch University
- RMIT UNIVERSITY
- The University of Newcastle
- CSIRO
- Data61 PhD Scholarships
- Nature Careers
- Swinburne University of Technology
- The University of Melbourne
- UNIVERSITY OF SYDNEY
- UNSW Sydney
- University of Sydney
- 8 more »
- « less
-
Field
-
possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice
-
learning and modelling to reveal plant-soil-microbe interactions. Your findings will inform climate and environmental policy and may contribute to shaping Australia’s carbon credit system. You’ll work with a
-
for alternative analytical approaches for vaccine–antigen quantification. You will then learn current industry best practice methods involving ELISA assays and biosensor technology at Zoetis before developing and
-
powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided
-
accelerate the global shift to electric mobility. This PhD will build an AI-driven fleet-scheduling framework that learns from battery data in real time and optimises charging, operations and maintenance
-
group of PhD researchers who will tackle the most pressing questions in Machine Learning while ensuring AI serves humanity responsibly. You'll work within one of our specialised research themes, each
-
. Research at Melbourne International students Find support, advice and what to expect living and studying as an international student at the University of Melbourne. Learn more How can we help? Find a
-
the academic staff at SIT. We are looking for PhD students to work on projects on stochastic optimisation algorithms for hyper-parameter tuning in Machine learning. The successful candidate will explore
-
of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply
-
learn about digital mapping as part of their work if they are willing. The student must be capable of distinguishing their project from the research overall but will be able to scope their original