130 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"EMBL" PhD positions in Australia
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Primary supervisor Rafael Baiao Dowsley Research area Cybersecurity With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful
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Primary supervisor Rafael Baiao Dowsley Research area Cybersecurity With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful
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Primary supervisor Bernd Meyer Research area Data Science and Artificial Intelligence This is an umbrella project that develops methods to monitor animals and more broadly biodiversity in natural environments. It focuses predominantly on acoustic methods but data fusion with visual and abiotic...
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Primary supervisor Lan Du Co-supervisors Prof Wray Buntine Research area Machine Learning Project Background & Motivation Active learning (AL) mitigates the heavy annotation costs of deep learning by
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Primary supervisor Vincent Lee Research area Machine Learning Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in
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unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary project will combine data science and artificial
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Primary supervisor Vincent Lee Research area Machine Learning Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in
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Primary supervisor Reza Haffari Research area Data Science and Artificial Intelligence Although deep learning has produces state of the art results on many problems, it is a data hungry technology
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unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary project will combine data science and artificial
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Primary supervisor Hui Cui Research area Cybersecurity This research project aims to address the critical need for privacy-enhancing techniques in machine learning (ML) applications, particularly in