414 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Monash University
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to expand research opportunities and global impact. Supporting the growth of the Master of Biotechnology program, ensuring its success as a key revenue stream for the Institute. This is a unique opportunity
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This PhD project is funded by a DHCRC project "Actionable data for clinicians and external accreditors in support of quality care provision and continuous accreditation". The successful applicant
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PhD project abstract The adoption of electric vehicles (EVs) is widely accepted as a fundamental approach to mitigating climate change for a sustainable future with cleaner energy and transport
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In recent years, the rise in cybercrimes has significantly increased the vulnerability of the open internet to various threats and cyber-attacks. Among these, phishing stands out as one of the most perilous crimes worldwide. In a phishing attack, perpetrators create fraudulent websites that...
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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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Bachelor of Occupational Therapy (Honours) The Betty Amsden program helped me gain clarity about my career pathway and increase my confidence. I think these were strong contributing factors to excelling in
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that occurs within these biological neural networks, so that these networks can be leveraged for AI applications. In addition, you will develop mathematical and computational neuroscience models
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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think of Machine Learning as the problem of approximating function f from the pair of measurements...
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years. $2500 one off Monash Global Grant used from the second year of the degree (funded by Monash) An invitation to apply for a place in Monash Minds , a leadership program for first year students Number
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. Leveraging techniques such as federated learning, differential privacy, and secure multiparty computation, the goal is to enable collaborative ML tasks without compromising the privacy of individual data