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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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of the STAMP RSV Program, supported by the Stan Perron Charitable Foundation. The PhD candidate will play an important role in developing models of RSV transmission and vaccination efficacy to inform
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the optimisation strategies to enhance the performance of complex machine learning models such as deep learning model and large language model. Applicants need to have strong background and track records of research
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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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environments. Access proprietary market data and institutional infrastructure, including cutting-edge computing environments and live market simulation tools. Translate research into production, contributing
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 19 days ago
technologies or IoT being advantageous. A background/knowledge in agriculture relevant to project focus will be desirable. Familiarity with digital twin modelling, remote sensing, and cloud computing is valued
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-Sepsis Model of Care that supports and improves outcomes for children and their families in the weeks, months, and years following this devastating illness. Despite increasing recognition of the long-term
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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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and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family Career
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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