*** ABOUT THE PROJECT ***. The Frog Research Team in eastern Australia (. https://www.frogresearch.com/). has a PhD opportunity available for a highly motivated applicant to study frog chytrid fungal disease (3 year PhD). Read more
Project opportunity. This Earmarked Scholarship project is aligned with a recently awarded Category 1 research grant. It offers you the opportunity to work with leading researchers both in academia and in Australian Red Cross Lifeblood (Lifeblood). Read more
Overview. A fully-funded PhD scholarship is available to study the physics of organic light emitting diodes (OLEDs). An OLED uses organic semiconductor materials to generate light, for example, in mobile phone screens and TVs. Read more
Now more than ever biologists are faced with the challenge of predicting how species will cope with extreme and rapid fluctuations in climatic conditions. Read more
A prestigious co-tutelle/joint PhD project is available at the Department of Computer Science, University of Sheffield, UK, and The Department of Biological Sciences, Macquarie University, Australia. Read more
Cardiovascular disease remains the single largest killer globally. The optimisation of clinical intervention and thus higher treatment success is significantly effected by assisting imaging technology, demanding innovation to enhance communication and understanding. Read more
The. Polariton BEC group. of the Australian National University (ANU) is looking for a talented and highly motivated PhD student to work with us on experimental research in exciton-polariton physics. Read more
Nephrons are the basic functional unit of the kidney, an organ with a central role in maintaining homeostasis in the body. The number of nephrons in the kidneys and their microstructure reflect the success of renal development and the trajectory of renal health through life. Read more
During the course of this PhD the successful candidate will develop a suit of machine learning algorithms to accurately predict cardiovascular disease risk from medical images using computational modelling, outcome and patient data. Read more
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