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related field. Demonstrated analytical skills, including proficiency with the R environment, spatial analysis and/or social research methods will be well regarded. This role offers a unique opportunity to
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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PhD candidate will be integrated into an established research program funded by the Australian Research Council, with access to a large longitudinal dataset and to funding for qualitative fieldwork
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, warns users, and suggests privacy-preserving alternatives before posting. Meaning-Preserving Obfuscation Methods New methods that reduce psychological leakage while preserving the original message, tone
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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
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and global Japanese teaching communities. This includes seeking out opportunities to collaborate with peers and staying informed on innovative teaching methods in language education. In
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). The reason for this is that the candidate will need to be trained in theories about humans and experimental methods. Meet H1E requirements for Monash FIT PhD entry.
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Syncytial Virus (RSV) monitoring and evaluation program of work. The position will contribute to projects under the National RSV Monitoring and Evaluation Framework, including the evaluation of the processes
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in diverse, real-world environments. Both classical machine learning methods and deep learning techniques can be employed to tackle this task. This project aims to achieve several objectives: 1
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of foundation models in natural language processing and computer vision, this project seeks to develop general-purpose graph foundation models capable of learning transferable representations from large-scale