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degree . In your EOI, nominate Associate Professor Angela Watson as your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section
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, nominate Professor Keogh as your proposed principal supervisor, and copy the URL link to this scholarship website into question two of the financial details section. About the scholarship This PhD project
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learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care. Your key responsibilities will be to: recruiting study participants
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to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by
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data science methods to build explainable and integrated machine learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care
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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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practice. The expected outcomes of this research program are proof-of-concept for a new model for insomnia precision diagnostics and the targeted therapeutic approaches to better treat this disorder; all
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for the 2020 paper, Nobiletin exerts anti-diabetic and anti-inflammatory effects in an in vitro human model and in vivo murine model of gestational diabetes, Caitlyn Nguyen-Ngo, Carlos Salomon, Stephanie Quak
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I am an experimental particle physicist that works on the search for phenomena that are beyond our current theoretical understanding in terms of the Standard Model of Particle Physics. The research