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a diverse and growing research community. To be successful in this position, you’ll have: PhD in a relevant discipline such as computer science, engineering, information technology, data science, or
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roadmap, ALiVE@RMIT , purposefully guides everything we do in vocational education to deliver our vision: to position RMIT as a leading multi-sector provider with global impact and influence. Led by
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world of work. Our five-year strategic roadmap, ALiVE@RMIT, purposefully guides everything we do in vocational education to deliver our vision: to position RMIT as a leading multi-sector provider with
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, ALiVE@RMIT, purposefully guides everything we do in vocational education to deliver our vision: to position RMIT as a leading multi-sector provider with global impact and influence. Led by our Deputy Vice
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. Our vision of “unleashing technologies to enable great experiences for RMIT Audiences” supports a proactive and leading-edge technology ecosystem, mindset and delivery empowering the advancement of
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world of work. Our five-year strategic roadmap, ALiVE@RMIT, purposefully guides everything we do in vocational education to deliver our vision: to position RMIT as a leading multi-sector provider with
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& Statistical Modelling Lead all quantitative data processing, interpretation, analysis and modelling for the department, applying advanced statistical and analytical techniques to datasets spanning
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successful in this position, you will have as a minimum: A PhD, or evidence of imminent PhD completion, in quantum information, physics, mathematics, computer science, or a closely related discipline
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. Demonstrated high level of proficiency in computer software packages including MS365, Adobe Creative Cloud and electronic direct mailing services with accuracy and attention to detail and the ability to
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-related activities as required by the school and program Key Selection Criteria: Master’s degree in Computer Science, Software Engineering, Information Technology, or other relevant disciplines Proficient