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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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-reality application development; modern AI techniques (such as computer vision or large multimodal language models); and/or human-computer interaction. Our industry partners are developing software
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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or autonomous operation. Supervision and Research Environment Lab: Design Health Collab, Faculty of Art, Design & Architecture, Monash University Lab Director: Professor Daphne Flynn PhD Supervisors: Dr Nyein
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The candidate must: Advise on their legal entitlement to work in Australia on a permanent basis Meet participating university PhD admission requirements Meet university English language requirements Not have
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English language requirements Not have previously completed a PhD Be able to commence the Program in the year of the offer Enrol as a full-time PhD student. Part-time arrangements may be considered if approved by
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verbal communication skills in English familiarity, expertise and/or interest in software engineering research methods and preparedness to further develop these skills; and research and/or practical
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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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of their remnants (including predictions for GW sources); mixing and transport processes in the stellar interior; nucleosynthesis and the origin of elements, including galacto-chemical evolution - which elements
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nominated on your application, you should proceed to the next step. Follow your faculty’s ‘how to apply’ process The process for applying for a PhD scholarship at Monash varies for each faculty, but in