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PhD scholarship opportunity: Bias in generative AI-driven decision systems Job No.: 680086 Location: Caulfield campus (with possible collaborations at the Clayton campus as needed) Employment Type
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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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, rewarding directions About the project Australia's population and its workforce are ageing. In physically demanding workplaces, this trend is particularly concerning, as older workers are more prone to injury
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international collaboration opportunities Program Overview Monash University’s Design Health Collab is offering a fully funded PhD opportunity for a candidate to undertake applied research in intelligent task
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-research/future-students/scholarships/scholarship-policy-and-procedures . The Opportunity This PhD scholarship is funded as an important part of an ARC funded project, “Asterix and the Making of Modern
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
stipend scholarship conditions at: www.monash.edu/graduate-research/future-students/scholarships/scholarship-policy-and-procedures . The Opportunity This PhD scholarship is funded to contribute towards
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at pandemic levels, understanding how to prevent these issues from developing in adolescence is critical to international global health. This project will build on the ideas and concepts from Positive Youth
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. Policy support is critical to accelerate their adoption but has faced setbacks and delays in Australia due to political resistance and low social acceptance. A key problem is that the models used
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your own learning at one of the world’s top 80 universities Take your career in exciting, rewarding directions Fibrosis is a scarring process characterised by the excessive deposition of connective