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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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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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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 Health Economics, Monash University Centre for Health Economics, Monash Business School, Integrated PhD Program 2026 Location: Caulfield campus, Monash University, Melbourne, Australia
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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
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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