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motivated and talented computational scientist to join the ice sheet modelling team at the Institute for Marine and Antarctic Studies (IMAS) , University of Tasmania, working closely with Australia’s Climate
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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning
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Full-time, fixed term position for an experienced Service Delivery/Program Manager for the Professional Services Review Program until September 2027 Career-defining opportunity for accomplished
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diabetes management system using a mobile app to rate foods based on the glycaemic response of an individual. AI models will be trained on both the food intake and blood glucose data, and learn from
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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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research program for understanding the formation of reaction intermediates during the pyrolysis of biomass and model components, focusing on characteristics and reaction mechanisms and end effects. Student
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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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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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. 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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model with each SNP independently, perhaps adjusting for other covariates such as age and sex. This project will focus on developing and applying novel machine learning and AI methods to improve