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research that addresses real-world challenges and you will demonstrate research leadership, including supervision of PhD students, and contribute actively to the Department’s educational, research, and
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Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance personalisation of services and
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initiatives Key Selection Criteria: PhD in a relevant field with a strong research track record National profile with potential for international leadership Demonstrated success in publishing and attracting
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is highly complex. For the proposed PhD project, experimental data are already available that bring together maps of orientations of such crystals together with the deformation pattern generated during
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ecosystem interactions. If used wisely for decision-support, these technologies can help select and implement effective policies. This PhD project, jointly offered by Monash University (Australia) and
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Cybersecurity is an interdisciplinary field. There is an urgent need to build up talent in human factors in cybersecurity. This PhD will provide the candidate with a unique pathway into industry
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, conferences, or equivalent textbooks/teaching resources Ability to lead outstanding research and manage a research team and projects Demonstration of effective PhD or Honours student supervision Proven success
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through supervision of PhD students, and contribute to the educational and administrative duties of the Department and Faculty such as by taking on course direction roles. As the successful candidate, you
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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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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain