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pathophysiology. Significant expertise in these areas is essential, and experience in artificial intelligence, machine learning, or simulation as applied to medical imaging will be highly regarded. As a key member
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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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, 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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seeking a leading researcher to advance a program in Applied Clinical Data Science, Machine Learning and AI. This role offers the chance to lead high-impact projects, mentor emerging researchers, and
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and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
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This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
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challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up
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the mobility data and design optimisation and machine learning algorithms Validate the design on energy-transport simulation platforms Present and promote research findings in international conferences and