437 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"ETH-Zürich" positions at Monash University
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. The successful candidate will have: Expertise in astrophysical radiative transfer and computational fluid dynamics Demonstrated expertise in the theory and phenomenology of supernova explosions Experience in
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able to demonstrate present and current Australian work rights Have an undergraduate or post graduate qualification in Epidemiology, Computer Science, or Biostatistics, or have a public health, clinical
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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
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in a relevant discipline Demonstrated excellence in education program design, delivery and innovation A strong publication record in education or allied health‑related research Experience leading
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to cultivate relationships with Monash University’s most generous and transformative donors, building a strategic program focused on securing and stewarding philanthropic gifts in excess of $5 million. This
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supporting our mission. Headquartered at Monash University, the Centre is a transdisciplinary, multi-stakeholder program aiming to mobilise survivor-centric and Indigenous approaches, interdisciplinary
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Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions, intelligent components learn their decision logic from data corpus in an end-to-end manner and act...
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responsible for systems implementation and coordination alongside the administration of key operational elements of the academic program. This includes managing processes and data systems supporting assessment
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This project will explore the use of Mixed-Reality (MR) headset technology to support people in performing maintenance tasks in complex environments, where the nature of the work involves close
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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...