611 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Monash University
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much less advanced than for other forms of data. Our research is revolutionising the analysis of time...
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the program. Working at both strategic and operational levels, the position manages technical programs, resources and risk, contributes to planning and budgeting and provides authoritative technical advice and
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to life. In this role, you will support both strategic and day‑to‑day activities by developing and coordinating high‑quality communications across a range of channels including from internal newsletters
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available for one year only. Applications No application required Total scholarship value Up to $6000 Number offered Variable (Depending on funding) See details Alexandra Jia Xin Goh Monash International
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to access leadership and community engagement opportunities and to support the development of emerging engineering leaders to encourage these talented individuals to enter the mining industry upon completion
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of Music and Performance, specialising in Jazz, and have elected to participate in music related units that require international travel. Tess Hill and Bill Hawtin believed the opportunity to travel
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communication skills and confidence working with diverse stakeholders are essential, along with advanced computer literacy. Adaptability, resilience, and the ability to thrive in a dynamic, fast-paced environment
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This project will explore the security and privacy challenges inherent in the tokenization of real-world assets (RWAs) using the blockchain technology. As industries increasingly adopt tokenization
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coordinate a complex, multi-site clinical trial involving approximately 15 Australian hospitals, delivered in federation with the PANTHER UK trial and under shared international oversight. As Project Manager
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed