592 associate-professor-computer-science-"https:"-"https:"-"https:" positions at Monash University
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contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Associate Professor Susie Ho, Senior Academic
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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achievement. The scholarship was named after distinguished Monash Alumnus Professor Michael Dodson AM and his daughter Inala (Dodson) Cooper, as the first Aboriginal parent and child to graduate from the Monash
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Ashton Nixon Scholarship Sir John Monash Scholarship for Achievement The Ashton Nixon Scholarship is supported by Associate Professor Rosemary Nixon AM to support undergraduate students embarking
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with generous top-up scholarships. We're looking for talented students with a background in mathematics, computer science, statistics, economics, engineering or other related fields. These positions
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100 per year See details Bachelor of Computer Science Moksh Receiving a scholarship has been my motivation to study harder. It has also given me more confidence in my studies, and pushed me to achieve
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the Faculty of Medicine, Nursing and Health Sciences. Based at The Alfred campus, this role provides high quality administrative and operational support for the School’s professional education programs. You
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the organisation. About you: Degree in Computer Systems or Software Engineering (or related discipline) Experience in software development, including WPF and ASP.NET Core Familiarity with JavaScript frameworks
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restructuring, service integration, and environment uplift. Oversee the safe, orderly decommissioning of legacy AD domains and associated infrastructure. Make informed engineering decisions that ensure
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch