474 web-programmer-developer-"LIST" "https:" "https:" "https:" positions at Monash University
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be enrolled in the Bachelor of Nutrition Science (Scholar Program).As a Scholar Scholarship student, you’ll be guaranteed entry into our Master of Nutrition and Dietetics (provided you maintain a 70
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Master of Engineering pathway program. Up to 10 scholarships valued at up to $30,000 are available each year. Applications No application required Total scholarship value Up to $30,000 Number offered Ten
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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
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study program - excluding MON2100 Global Immersion Guarantee. Benefits $3,000 one-off payment. Number offered 20 scholarships available. Selection criteria Awarded based on need. From one or more of
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for a place in Monash Minds , a leadership program for first year students Number offered Two scholarships available per year Selection criteria Based on academic achievement, educational disadvantage and
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This is a rare opportunity to establish and grow a world-class research program at the heart of Monash’s growing quantum technologies ecosystem. We are especially keen to attract candidates whose work
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optimisation Large-scale data processing Intelligent and educational analytics Rather than replacing classical systems, the project will develop hybrid architectures where quantum components assist specific
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, delivery, governance and reporting. A key focus of this role is serving as Program Manager for the MRFF-funded CALIPSO trial, while also contributing to the coordination and expansion of other national and
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for assisting with program delivery in collaboration with student leaders and faculty representatives, project scoping and identifying deliverables; and monitoring, evaluating and reporting on program and project
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning