Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
and Repromed invite applications for a project under this program. Repromed are one of the leading IVF clinics and largest IVF clinic in South Australia. The purpose built clinic that performs
-
study Benefit duration One or more years Summary The Computing and Information Systems PhD Scholarship is offered to high achieving graduates of the University of Melbourne Master of Computer Science who
-
characterisation facilities, offering exceptional opportunities to perform in-situ and high-resolution materials analysis. Leveraging these state-of-the-art research capabilities, the candidate will conduct high
-
opportunities to perform high-quality, impactful research. The project offers close collaboration with Baosteel’s Central Research Institute, and has the opportunity to travel to Shanghai, China. For further
-
Electronics: Creating next-generation microwave electronics that balance size, power, and performance for handheld platforms. Signal Processing for Embedded Systems: Designing and optimizing algorithms
-
demonstrate suitable experience in computer science, machine learning, robotic vision, or a related field (through a high-quality Honours or Masters degree). The successful candidate must be able to enrol as a
-
-performance computing (HPC), Bragg Crystallography facility, and Adelaide Proteomics Centre. Our collaboration with Monash University further extends our access to advanced 300 kV Titan Krios and Helios 5 UX
-
investigate online feature engineering, continual learning and uncertainty quantification. Balance performance with governance. Projects will evaluate risk-adjusted returns alongside interpretability
-
. You will also receive either: an Australian Government Research Training Program (RTP) fees offset a QUT research degree (HDR) tuition fee scholarship. As the scholarship recipient, you will have the
-
to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine learning workflows will lead to rapid precision diagnoses and effective