443 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" positions at Monash University
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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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the delivery of a range of technical services. This position manages electrical and electronic design and assembly, providing integrated solutions involving computer interfacing equipment and systems
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. Excellent interpersonal and communication abilities. High-level computer literacy and database management. Discretion, tact, and a commitment to confidentiality. This is your opportunity to play a key role in
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of Women’s Health program outcomes through a range of laboratory and technical activities, including sample preparation, cell and tissue culture and performing assays such as qRT-PCR, immunoblotting
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We have several PhD and Research Assistant (RA) opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, etc.), you will have a strong...
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program that advances the understanding within the scientific fields of brain and mental health. This position will contribute to the research priorities of the Turner Institute for Brain and Mental Health
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'', Springer (Link to the preface [and p vi, also here]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE
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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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for inference, yet differs from standard Bayesian approaches through its information-theoretic foundation. The MML87 approximation achieves computational tractability while remaining virtually identical to Strict
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of the University’s rich experience agenda, including the Parbinata program. This flagship initiative will transform the Clayton campus into a hub for Indigenous knowledge sharing, integrating First Nations