459 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Monash University in Australia
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relationships in organic semiconductor materials, working closely with Professor Chris McNeill in the Department of Materials Science and Engineering, Dr. Amelia Liu in the School of Physics & Astronomy as
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of the following would be useful: stakeholder engagement, (IT) system design, basic web programming, and technology evaluation. Experience in Indigenous and qualitative research methods is desirable, and Indigenous
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Technology: Theory and Applications, pages 123–149. Springer, 2010. O. Biran and K. McKeown. Human-Centric Justification of ML Predictions. In IJCAI2017, pages 1461–1467, 2017. L. Cavazos Quero et al.˙ Jido: A
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completion); Applied for admission to a PhD program at an Australian university or be a student enrolled in their first 12 months of study in a PhD program at an Australian University; A university supervisor
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of Pharmaceutical Science Advanced with Honours Bachelor of Pharmaceutical Science/Bachelor of Engineering (Honours) Benefits $6000 one-off payment. Number offered Ten scholarships available per year. Selection
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: Current student enrolled in an undergraduate degree in the Faculty of Engineering or other STEM faculties at a Monash campus in Australia. Are an Indigenous Australian ** **To be eligible you must provide a
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008) [Christopher Stewart WALLACE (1933-2004) memorial special issue [and front cover and back cover]], pp523-560 (and here). www.doi.org: 10.1093/comjnl
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Computation", NeurIPS 2019 - "Protecting Privacy of Users in Brain-Computer Interface Applications", IEEE Transactions on Neural Systems and Rehabilitation Engineering 2019 - "Efficient and Private Scoring
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images