395 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"UCL" positions at Monash University
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methods dealing with model complexity - e.g., AIC, BIC, MDL, MML - can enhance deep learning. References: D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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immersive and educative programs and initiatives within Parbinata, ensuring culturally grounded program design, sustainability and long-term impact. Oversee the end-to-end design, and delivery of significant
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., Pan, S., Aggarwal, C., & Salehi, M. (2022). Deep learning for time series anomaly detection: A survey. ACM Computing Surveys.
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community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a Level A
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a motivated Level A Research Fellow for a 2 year research-only appointment. A Level
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be some flexibility as to the specific date of commencement. Enquiries You are required to discuss your research proposal with Dr Louise Devenish (Graduate Research Program Director), Sir Zelman Cowen
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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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across academia and industry. This position forms part of a major national program in Australian green ironmaking and will utilise Monash’s world-class analytical capabilities and pilot-scale facilities
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-powered tools for SE/PL, including program analysis, automated repair, and software testing is sought. Appointees will bring strong technical capability to collaborate with related groups in cybersecurity