383 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Monash University
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals from mobile devices and classify them into different categories or types of ringtones. The...
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explores how people of different ages play together, focusing on the experiences and perspectives of all participants. Working within a broader research program, the candidate will collaborate with
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Performance Computing platform (MASSIVE) to do the experiments.
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Excellent written and verbal communication skills Analytical thinking and problem-solving capabilities High-level computer literacy and attention to detail Knowledge of the university research environment and
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into AI systems or mathematical and computational models of brain function. This project would be for someone who wishes to pursue a deeper understanding of humans and machines and the meaning this has
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the financial pressures of study. Further, as a result of my scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and
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potential remedial approaches - will be explored in this research program and they include (as examples): variability in staining outcomes across different stains and different sites (even within a given
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications based on electronic medical records. It is also attractive for novel applications, e.g. multimodal...
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Duration: 3.5-year fixed-term appointment Remuneration: The successful applicant will receive a tax-free stipend of $37,145 per annum (2026 full-time rate), as per the Monash Research Training Program (RTP
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intelligent techniques for scheduling and offloading tasks to the cloud and peer vehicles. This will ultimately meet the Quality of Service (QoS) requirements of time-critical road safety applications and