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analysis. Additionally, experience in healthcare informatics, user experience research, and a commitment to improving mental health services are highly desirable. Project funding Project based scholarship
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comprising one or more of: a bachelor’s honours degree in a relevant discipline (computer science, software engineering), which includes a research thesis or project, with an overall average grade equivalent
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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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The Opportunity The Manager – Cyber Threat Intelligence (CTI) & Security Agency Relations designs and builds a sustainable CTI practice ensuring compliance with the Australian Defence Industry Security Program
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Centred Computing, Faculty of Information Technology, yolande.strengers@monash.edu Position Description: Research Fellow Applications Close: Sunday 15 June 2025, 11:55pm AEST Supporting a diverse workforce
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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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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. 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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Senior Business Analyst - SMST Job No.: 679753 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $116,075 - $128,126 pa HEW 8 plus 17% employer superannuation Amplify your impact at a world top 50 University Join our inclusive,...
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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