413 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Monash University
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Recognition On Moving Resource-Constrained Devices Bayesian Generative AI (PhD Project) Explainability and Compact representation of K-MDPs Creating a 21st Century Helpline for Enhanced Support and Continuity
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accessibility issue for blind people. As part of a project funded by the Australian Research Council, this PhD project aims to devise novel techniques to build a multimodal natural language (NL) generator
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The ARC SRIEAS Securing Antarctica’s Environmental Future (SAEF) program is a leading international research initiative from the Faculty of Science focused on forecasting and addressing environmental change
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., Pan, S., Aggarwal, C., & Salehi, M. (2022). Deep learning for time series anomaly detection: A survey. ACM Computing Surveys.
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-supervised contrastive learning to encode the EEG data. This way we can better model the distribution of our EEG data before classifying it to different mental status. See a recent work here [1]. The data will
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Automating code generation, SQL query formulation, and data preprocessing pipelines is a crucial step toward intelligent and efficient software development. This project aims to leverage large language models (LLMs) to address these challenges by developing a comprehensive framework that...
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Monash Mentor Scholarships The Monash Mentor Scholarship is designed to recognise excellence of students participating in the Access Monash Mentoring program. Mentors have the opportunity to develop
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. This does not include food expenses) Participate in the Faculty Indigenous Vertical Peer Program. Accommodation over the summer months in Monash Residential Services may be available, but you must notify MRS
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our capacity and expertise in socio-legal and empirical legal scholarship and methodologies. Additionally, with the largest clinical legal education programme in Australia and celebrating 50 years
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series