176 programming-language-"St"-"FEMTO-ST"-"University-of-St"-"St" positions at University of New South Wales in Australia
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Apply Now Register Already Registered? Login Application Close 30/09/2025 UNSW Business School Merit Scholarships Program for Students Commencing Term 1, 2026 UGCA1705 Key High School Leaver
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. Why your role matters The Lead Management and Master Data Management (MDM) project is a business program led by the Marketing & Digital Experience area, but also involves significant technical
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it, and students with English as a second language are encouraged to join the program as soon as classes begin. First-year students meet in groups of three to eight with a senior law student for
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Skills, English Language teams and Enabling program initiatives. The role also involves promoting initiatives, communications, ensuring evaluation mechanisms and frameworks, report writing, fostering key
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stream of a major transformation program. You’ll work with multiple stakeholders to document end-to-end processes, support the set-up of governance structures, and embed effective ways of working. In
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 1 month ago
datasets. Help develop data sets for testing and demonstration purposes. Verify and deploy programs and systems and assist with maintaining the team’s development environment. Troubleshoot, debug and upgrade
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) - students must be enrolled in the UNSW Institute of Languages and successfully complete the program prior to commencing in Term 1 2026. *Applicants with pending Year 12 (or equivalent results) and UAC
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one or more programming languages. Skills in trend analysis, statistical analysis, data visualisation techniques and reporting. Demonstrated experience in the delivery of operational and administrative
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-level systems programming in unmanaged languages (C and assembler), as well as in scripting languages (Python, Unix shell etc). Substantial experience with seL4 usage and internals, and developing kernel
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experiments. Develop and maintain high-quality, domain-specific datasets to fine-tuning, training, and validation of the Large Language Model. This includes data cleaning, preprocessing, and ensuring compliance