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statistical and machine learning models (e.g., regression, NLP, clustering). Design end-to-end solutions with strong focus on transparency, reproducibility, and performance. Explore and visualise datasets using
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limited to: adversarial machine learning, post-quantum cryptography, privacy-enhancing technologies, software and supply chain security, secure systems and memory-safe languages, cloud and virtualization
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workloads and meet deadlines Knowledge of university regulations, or the ability to quickly learn Computer literacy particularly with - Office 365, LMS/SMS, and CRM tools Ability to be adaptable and flexible
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lending and information services at our information desk and via online media, assisting users with equipment, maintaining our collections and physical environment, and helping make our learning spaces
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You will be able to work well with different computer programs. Have proficiency in using MS Office applications (e.g. Word, Excel, PowerPoint and Outlook) and can demonstrate excellent accuracy
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, whanaungatanga and tiakitanga, supporting equity and inclusion across science learning in Aotearoa. You will build strong relationships with schools, UC staff, and students to deliver inspiring and culturally