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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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transformative work in artificial intelligence, machine learning, and data science, work that’s improving lives, informing policy, and driving industry forward. We’re proud of our inclusive culture, and we
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. This role combines hardware and software development with advanced signal processing, machine learning, and image analysis to deliver high-performance, real-time monitoring solutions. You’ll engage with
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processes and systems. Additionally, you will have well-developed written and verbal communication skills, high-level computer literacy, as well as demonstrated abilities to set priorities, manage time and
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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manage multiple priorities effectively, while your computer literacy and experience with financial systems, especially SAP, will support your technical performance. A sound understanding of GST in a
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institutional policies. To be considered for this role, you must hold a doctoral qualification in operations research, operations management, business analytics, data science, machine learning, or a closely
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized