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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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techniques. It may also include hardware development of wearable assistive devices that use audio and haptic feedback. Required knowledge Image processing Computer vision Deep learning Programming (Python, C
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status (SES) area To be eligible for this scholarship, candidates must have been accepted to participate in the Access Monash program. Benefits $8,000 per annum (48 credit points of study) up to a maximum
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The United Nations Development Programme has identified access to information as an essential element to support poverty eradication. People living in poverty are often unable to access information
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knowledge that positively impacts the world. Monash University’s research support services in Animal Ethics support research activities in biomedical research, pharmaceutical sciences, and ecology and
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them The Opportunity Monash University’s Faculty of Pharmacy and Pharmaceutical Sciences is seeking a talented Research Fellow to join the Drug Delivery Disposition and Dynamics (D4) group in an ARC
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them The Opportunity Are you a safety-conscious, technically minded professional with a strong background in chemistry and laboratory operations? We are seeking a Senior Safety, Compliance
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superannuation) Support impactful research and leadership at a world top 50 university Join a collaborative team driving mental health and science initiatives Executive and Project Officer role at the heart
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and their uncertainty to different stakeholders, and evaluate the effect of the...
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of Computer Science in Data Science (Honours) Anban Raj Thank you will never suffice to express my gratitude to the Ng Family for believing in my potential and enabling me to access a world-class education. I will