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This project investigates 3Vs of Big Data (e.g Volume, Variety, and Velocity). Volume: Due to the exponential increase in data volume, it is necessary to adopt parallelism techniques to achieve
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On their own, traffic accidents cause 1.3 million fatalities every year – and improper situational awareness is often a major cause. This project aims to exploit big spatio-temporal data to design
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strategic risk and compliance management in a large and complex organisation, with sound judgement and absolute integrity (including the ability to manage sensitive information) Proven expertise in leading
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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visionary marketing leader, you are strategically and operationally accomplished with a modern take on marketing, understanding the role of data and AI in our future and the ability to establish trusted and
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. Application of artificial intelligence/machine learning to the big data from genetics and omics is well recognized in healthcare, however, its application to the data reported everyday as part of the clinical
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, and costs of running diverse applications in large-scale distributed systems. This project offers researchers and students a chance to explore cutting-edge concepts in AI-driven infrastructure
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of medium to large scale projects Advanced computer literacy, particularly with current project management software Experience in finance or sustainable finance, or a strong interest and proven ability
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mitigate project risks and issues. What you’ll need to succeed: Excellent project management skills with a proven record of successfully managing all aspects of medium to large scale projects Advanced
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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