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. This exciting project is supported by a large, multidisciplinary team from the Flinders Health and Medical Research Institute: Sleep Health (Flinders University) and the Adelaide Institute for Sleep Health Clinic
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 8 days ago
26 Aug 2025 Job Information Organisation/Company AI & Cyber Futures Institute - Charles Sturt University Research Field Agricultural sciences Biological sciences Researcher Profile Recognised
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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful
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Charles Sturt University’s AI and Cyber Futures Institute (AICF), a cutting-edge research institute of excellence in data science, artificial intelligence, and cyber security, is poised to showcase
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of the role of chromatin in development and diseases like cancer. We seek a highly motivated, creative scientist to spearhead a project using stem cell and models to address a fundamental question in chromatin
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Centre for Epigenetics (ACE), the South Australian immunoGENomics Cancer Institute (SAiGENCI) is inviting applications for a Level A Researcher in the field of cancer development and stem cells. SAiGENCI
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models through specific activation functions. This project will be undertaken in collaboration with Dr Hemanth Saratchandran and Prof Simon Lucey of the Australian Institute for Machine Learning, and
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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models