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Essential First class Honors or Masters degree including substantial research project, GPA 80%+ from a reputed university Refereed publications including journal or conference of high repute Desirable
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substantial research project, GPA 80%+ from a reputed university Refereed publications including journal or conference of high repute Desirable Background in Algorithms and Data Structures
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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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Monash Business School IBL Placement Scholarship This scholarship is awarded to high achieving students enrolled in a degree within the Monash Business School who undertake a 22 week placement with
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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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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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Wilson Transformer Company Engineering Leadership Scholarship Industry Leaders Scholarship This scholarship is awarded to a high-achieving student who is currently enrolled in third year of
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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
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of robust QoS metrics for medical applications known to perform poorly with established QoS metrics. We would also like to explore the geographical distribution of available services in Australia, and where
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of tranditional software, the operations of intelligent software systems are in urgent needs as more and more are depolyed and used in practice. This project aims to explore an effective operation solution