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research and cybersecurity research, notably one current direction is on advancing the latest generative AI models for cybersecurity, or vice versa: using cybersecurity to attack AI. The student is free
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. Collaborate with the lead modeller to translate requirements into production-ready outputs. Partner with stakeholders to understand and support their data infrastructure needs, troubleshooting and resolving
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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Undertake testing on new AI models and systems to ensure reliability and alignment with experimental goals. Liaise with other engineers and stakeholders to finalise AI models and systems for use in
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, infer arbitrarily closely to any model underlying data. We endeavour to do the following: Apply MML to test datasets (degenerate motifs of 6-12 base pairs and with 1 to 2 variable nucleotides) Apply MML
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the Learning Enhancement Team. This includes data extraction, cleaning and analysis; student load modelling; plan, program and curriculum learning visualisation and analysis; thematic analysis of student
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will include, but are not limited to: Research: Undertake the development and application of computational fluid dynamics (CFD), data-driven and mechanistic models for wastewater treatment processes
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expertise in advanced econometric techniques, data modelling, and statistical analysis. The Master of Applied Econometrics program combines rigorous coursework with hands-on experience, equipping you with
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$127,351-$143,489 + 17% superannuation The Founders Program supports UNSW staff, students and alumni to build the capabilities and networks they need to create positive impact through entrepreneurship
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Computational drug discovery Primary supervisor Geoff Webb Research area Data Science and Artificial