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time. In this project, we propose a method for identifying and classifying such emerging asynchronous trends. The goal is to be able to predict how a new emerging trend will develop using similar
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DNA or RNA motif discovery is a popular biological method to identify over-represented DNA or RNA sequences in next generation sequencing experiments. These motifs represent the binding site
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much
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responsible for systems implementation and coordination alongside the administration of key operational elements of the academic program. This includes managing processes and data systems supporting assessment
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of the School of Rural Health through high-quality educational design and delivery. The position supports the biomedical sciences component of the Monash Mildura General Practice Academy medical program in
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) within the School of Public Health and Preventive Medicine (SPHPM) Monash University. As a major clinical research methods centre for Intensive Care across Australia and New Zealand, the centre delivers
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members. This initiative provides students with the opportunity to apply independent thinking and problem-solving skills to develop or enhance products, methods, or services. Projects may be self-contained
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-designed living evidence method across two APT pilot sites. The student will also gain expertise in developing a scoping review and conducting and disseminating living evidence syntheses to inform APT
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leading research in the development of cryo-EM methods to solve problems in an important class of challenging materials. This Level A Research Fellow position will contribute to the ARC Discovery Project
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. Methods To make this pre-trained model, the student will script a virtual mouse model 13 to traverse through common behavioural apparatuses within a realistic simulation tool called Unreal Engine 14