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. You will have extensive experience analysing longitudinal data (e.g., risk prediction, machine learning etc), an established international publication record and success in attaining research funding
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Research Fellow in Automation and Machine-Learning in Polymer Synthesis Job No.: 665101 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration
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signals or other perceptual processing (Matlab, Python or other scientific programming). Experience in machine-learning approaches to data analytics, especially for time-series data. Desirable Experience
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signals or other perceptual processing (Matlab, Python or other scientific programming). Experience in machine-learning approaches to data analytics, especially for time-series data. Desirable Experience
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-disciplinary nationwide research teams. There will also be an opportunity for the candidate to broaden their analytical skillset through professional development and this may include aspects of machine learning
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development and this may include aspects of machine learning, artificial intelligence, and data science. The ideal candidate will possess strong programming skills in R or Python, excellent communication