29 postdoctoral-image-processing-in-computer-science-"EPIC" PhD positions at University of Adelaide
Sort by
Refine Your Search
-
The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among higher degree by research students, and to promote knowledge transfer between academia
-
-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
-
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
-
biology: How do epigenetic features contribute to the regulation of the genome? We study how chromatin drives specificity for regulating gene expression. You will be dissecting the molecular features
-
admission at the University of Adelaide, and who can demonstrate suitable experience in electrical engineering, physics, signal processing, or related fields. Experience with RF systems, antennas, or embedded
-
Value The HDA and PHSA PhD Excellence Award are $7,500 per annum for up to 3 years only to augment an Australian Government Research Training Program (RTP) Stipend Scholarship or equivalent
-
and technology. Engaging in solving a real-world problem requires a real solution to enhance housing resilience. Applying research skills to optimise and innovate AI-driven solutions for the housing
-
following cycles caused by changes in chemistry and hydrogen bond donor (HBD) composition. DES also exhibits poor chemical stability at higher operating conditions, resulting in solvent loss. Furthermore
-
will provide high quality data comprising images, text, and detailed locational information for 667 names/toponyms given to localities on the Australian coast by d’Entrecasteaux and Baudin. The expected
-
Honours degrees in the following disciplines, or with equivalent research or work experience will be favourably considered: Computer and Data Science; Applied Mathematics and Statistics. Number