52 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Melbourne
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Role type: Full-time; Fixed term (12 months) Department: ESG - Data Operations & Analytics Salary: UOM 7 - $111,275 - $120,453 p.a. plus 17% super Shape University-wide decision making / own a
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. plus 17% super Lead cutting-edge youth mental health data science / contribute to NIH-funded global psychosis research / build a strong academic profile Apply now to shape predictive models that improve
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) through Melbourne Scholarships using this link: https://unimelb-scholarships.smartygrants.com.au/SFA Once you have submitted your online Financial Aid Grant application, please complete the following
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today! Applications MUST be submitted via the Casual Tutor Recruitment System (CTRS). Please visit https://ctrs.app.unimelb.edu.au/ctrs/ to apply. Applications submitted using the Apply Now button at the
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Please apply via this link: https://careers.giighire.com/universityofmelbourne/29027?source=link DO NOT APPLY VIA THE UOM CAREERS PAGE Role type: Casual positions Department : Student and Scholarly
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- AUD $152,695 - $176,065 p.a. plus 17% super (retirement savings system/pension scheme) Expand expertise in mathematics and statistics in a leading research intensive school / Shape data driven and
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: Be a citizen of an African or Asian country from the British Commonwealth (as according to https://thecommonwealth.org/our-member-countries ) Be enrolled in the Master of Civil Engineering and have
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p.a. plus 17% super (retirement savings system/pension scheme) * Expand expertise in mathematics and statistics in a leading research intensive school / Shape data driven and foundational methods with
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p.a. plus 17% super (retirement savings system/pension scheme) * Bridge pure and applied mathematics / Shape data driven and foundational methods with real world impact / advance interdisciplinary
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- AUD $152,695 - $176,065 p.a. plus 17% super (retirement savings system/pension scheme) Expand expertise in mathematics and statistics in a leading research intensive school / Shape data driven and