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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
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totalling approximately $47,000 per annum tax exempt (2025 rate). A four year Project Expense and Development package of $13,000 per annum. A 60 day Industry Engagement component with the industry partner. A
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year scholarship package totalling approximately $47,000 per annum tax exempt (2025 rate) A four year Project Expense and Development package of $13,000 per annum A 60 day Industry Engagement component
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solution eleXsys as a core element operating autonomous microgrids of the future, as well as providing integrated Volt/VAR management, allowing for full two-way energy flow in the entire microgrid network
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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
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to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash . Be part of our story. Work with us to #ChangeIt . Monash
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outstanding international outlets, our faculty are recognised for the impact of their work on industry. As part of a large business school our faculty have access to a state of the art behavioural research lab
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software such as redcap, R, python. Experience in clinical trial management and coordination, including regulating clinical research with a large human subjects component. Strong knowledge of ICH Guidelines
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: Experience in physical system modelling including finite element modelling Experience working with large codebases in open source software environments Proficient user of HPC environments including MPI
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schools as part of the Access Monash Mentoring Program, giving you the opportunity to develop your leadership, public speaking and teamwork skills. The Gandel family have a close connection with Monash