580 systems-science "https:" "https:" "https:" "https:" "Univ" uni jobs at Monash University
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Project Background and Motivation The "inverse design" of molecules from analytical spectra (such as MS2, NMR, or IR) is a fundamental bottleneck in analytical chemistry, metabolomics, and drug
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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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teaching and inspiring future marketers? The Department of Marketing in the Faculty of Business and Economics invites applications from industry professionals to join our sessional teaching team
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Maxwell King PhD Scholarship The Maxwell King Scholarship (MKS) is named after Professor Maxwell King, who has made an outstanding contribution to graduate research at Monash University, including
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is experiencing financial hardship, a financial reward and a generous package of benefits allowing the student to boost their academic, personal and professional development. Total scholarship value Up
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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release, and awards. Using quantitative data analysis methods, the project aims to identify patterns and factors associated with successful film outcomes. This minor thesis is suitable for students
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The existing deep learning based time series classification (TSC) algorithms have some success in multivariate time series, their accuracy is not high when we apply them on brain EEG time series (65
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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This project is similar in flavour to the Conscious AI project but rather than come from a Philosophical/Neuroscience/Math/Theory angle, this project aims to build self-aware neural networks