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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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, including uploading and distributing a variety of content. To be successful, you’ll have: A Degree with subsequent relevant experience; or Extensive experience and specialist knowledge or broad knowledge in
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Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning
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algorithms for resource-efficient hydroponics and evidence-based frameworks for integrating green space exposure for improved student wellbeing. This project will potentially enhance urban food resilience
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Indigenous Australian knowledge, but it also speaks to the mission of universities – to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet
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documentation. Contribute to the operational effectiveness of the School ensuring Operations are undertaken in accordance with relevant legislation and University policy. Write, edit and distribute content
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to policy and practice. CHL envisions a diverse humanitarianism that embraces the agency of affected people and promotes distributed power, social justice, and equity. At Deakin, CHL sits within the Faculty
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Recommendation, Data Science, Machine Learning, and Big Data Analysis, Distributed Computing and Cybersecurity Human-Computer Interaction. SCT will fast-track digital innovation across all College teaching
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: Artificial Intelligence, Search and Recommendation, Data Science, Machine Learning, and Big Data Analysis, Distributed Computing and Cybersecurity Human-Computer Interaction. SCT will fast-track digital
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Exceptional communication and analytical skills, with a knack for solving complex problems creatively. Experience working with distributed teams and managing multiple priorities. *Please note that this role