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reduction applied annually for the duration of your program for up to 3 years (144 credit points). Number offered Variable based on funding. Selection criteria Awarded based on academic achievement. The 20
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research program in analytical and/or physical chemistry with the ultimate focus being to refine and enhance current knowledge and practice in chemistry and science. The Lecturer will establish a strong
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health solutions. Working within multidisciplinary research teams, students will gain valuable experience applying advanced computational and analytical methods to real-world health challenges. The program
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Collaboration (ALEC) team at the Alfred campus, offering an established researcher the scope to lead programs that directly inform health policy, clinical guidelines, and implementation practice at a national and
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the Monash campus network Drive modernisation programs, including hybrid cloud integration and data centre optimisation initiatives What You'll Bring Demonstrated leadership of enterprise-scale network
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completion); Applied for admission to a PhD program at an Australian university or be a student enrolled in their first 12 months of study in a PhD program at an Australian University; A university supervisor
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submit your resume and a short statement addressing why you would make a great Lecturer/Demonstrator in our program. Recent Professional practice is required for this role. Please detail your recent
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Identify systemic improvement opportunities and translate them into actionable, measurable programs Operating with a high degree of autonomy, you will lead the creation of a robust framework designed to
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student You must meet the following criteria: Current student enrolled in an Honours program in the Department of General Practice in the School of Public Health and Preventative Medicine at a Monash Campus
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
prototype A prototype that can support secure code review by producing patch trust scores and review recommendations. Required knowledge Essential Python programming, Machine learning fundamentals, Deep