Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
This PhD project aims to leverage continuous glucose monitoring (CGM) technology to develop personalized nutrition and meal timing strategies for people living with type 2 diabetes. By continuously
-
open to Doctor of Philosophy (PhD), Master of Philosophy (MPhil), and Master of Research (MRes) students. SWR is a condition where soils temporarily resist wetting, reducing water availability for plants
-
commitment to diversity, collaboration, and ongoing professional development is essential. To be successful you will need: Masters / PhD in Engineering /Agricultural science or relevant area, or significant
-
environment. To be successful you will need: Masters/ PhD in Mechatronics/Robotics or relevant area, or significant and appropriate industry experience. Demonstrated practical experience in application
-
, contributing to ground-breaking discoveries with real-world implications for cancer patients. To be successful you will need: A PhD in (awarded or near completion) in Computational Biology, Computer
-
funded 3.5 year PhD projects that will develop an innovative approach for enabling the discovery of natural hydrogen accumulations in continental interiors. Using the unique natural laboratory
-
: Postgraduate qualifications or progress towards postgraduate qualifications and extensive relevant experience; or PhD in plant science, genetics, physiology or biotechnology, or a substantially relevant
-
synthesising the project outcomes to inform sustainable fire management and biodiversity conservation both on Kangaroo Island and across south-eastern Australia. To be successful you will need: PhD or equivalent
-
. To be successful you will need: PhD or equivalent degree (or thesis submitted) in earth sciences. Demonstrated research ability in sedimentology and sedimentary geochemistry—preferably with expertise in
-
PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong