618 computer-science-intern-"https:" "https:" "https:" "https:" "University of St" positions at Monash University
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and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related discipline Demonstrated experience
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Department of Mechanical and Aerospace Engineering and play a key role in supporting the delivery of strategic programs, initiatives, and day-to-day operations. As an Operations Coordinator, you will provide
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of public health in the Asia Pacific region, recognised for excellence in epidemiology, clinical trials, health services research, evidence synthesis and implementation science. ANZMUSC is an NHMRC Centre
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models for deployment in real-world driving scenarios. Required knowledge First-class bachelor’s honours or master’s degree in computer science, engineering, or a related field. Alternatively, second upper
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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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to continuous improvement initiatives and uphold service excellence Collaborate with internal and external stakeholders to ensure seamless operations Your success will require: A tertiary qualification in a
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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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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 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