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to Fisher-Rao geometry and develop theoretical results characterising MML estimation under various regularity conditions. Aim 2: Development of Computational Methods for MML Design and implement efficient
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and
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development programs Onsite childcare facilities to support working parents Onsite vacation care during school holidays Discounted health insurance Subsidised membership at our Sport & Aquatic Centre Access to
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lifelong learning and career development Progressive HR practices More information on the great staff benefits and culture can be found here. Pre-Employment Checks: Aligned with UNSW’s focus
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, flexible hours etc) Additional 3 days leave during December festive period. Career development opportunities Up to 50% discount on UNSW courses Flexible 17% Superannuation contributions, additional leave
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career development Progressive HR practices Discounts and entitlements Affordable on-campus parking Who you are Level 6 Relevant tertiary qualification or equivalent experience. Experience in Higher
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development and a safe work environment oversee compliance with WHS, University policies, Mutual Accountability Agreements (MAAs) and Service Level Agreements (SLAs) manage end‑to‑end HDR student lifecycle
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
& astrophysics, or related disciplines, OR a relevant undergraduate degree with a minimum of four years’ relevant experience in scientific and/or aerospace software development; Experience with at least one of
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contemporary education design, media and digital capability, and a strong focus on an outstanding student experience to support the development of scalable, high-impact programs for modern learners across a
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, supporting audits, and liaising with stakeholders. Manage quality systems and processes, including the development, implementation, and review of quality management and training systems for research