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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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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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or unethical responses, can be manipulated into producing them when provided with a large enough number of well-crafted “in-context” examples. This raises critical questions: Why do AI models adapt so
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Factors, patient safety, healthcare quality and clinical research or systems improvement; Demonstrated skills in qualitative or mixed methods research, data collection and analysis; and Knowledge of Human
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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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to appoint a candidate with research and teaching experience in one of the following accounting disciplines: audit and assurance; information systems; digital technologies, performance measurement
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to appoint a Professor of Accounting, ideally with research and teaching experience in one or more of the following accounting disciplines: audit and assurance; information systems; digital technologies
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crucial role in preventing the onset or progression of diabetes. A large number of mobile apps have been recently introduced to assist individuals with self-management of diabetes. However, these studies
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finance leader with deep expertise in financial reporting, consolidations and accounting standards application ideally gained in Big 4 Audit and cemented in senior roles or secondments within large, complex