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of application case studies demonstrating best in class capacity for understanding materials design, origin, fabrication, performance, and failure, leveraging large scale data sets. The platform
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Adviser (Contact Centre), you will: Provide information, advice and support to students Contribute to the implementation of strategies and programs to improve the student experience and contribute
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, including large language models (LLMs). Proven application of ML techniques to system security, particularly in the context of complex computer systems or networks, is highly desirable. Extensive experience
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datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply advanced methods such as ColabFold
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in data engineering or a related field Proven skills working with large datasets, databases and ETL pipelines. Expertise in modern data engineering tools and platforms (e.g., AWS, DevOps, Power BI
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UNSW: UNSW isn’t like other places you’ve worked. We’re a large organisation with a diverse and talented community; a community doing extraordinary things. Together, we are driven to be thoughtful
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work streams, or leading large complex projects and ability to work according to strict deadlines and manage various demands ability to understand often complex information and distil into lay terms
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deliver data strategies that enable smarter decisions and ongoing improvement across UNSW’s Lifelong Learning unit. Blending big-picture thinking with hands-on analysis, this role shapes how data is
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.) Hybrid/Flexible working arrangements 12-month fixed term contract Research Analysis, Data and Reporting (RADAR) is a dedicated unit established to support the goal of continuously improving UNSW’s position
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of continuous improvement and knowledge sharing. About you Previous experience working with large data sources and analysing and providing insights on complex quantitative and qualitative data across a