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pharmacogenomic and patient-derived datasets to build deployable predictive biomarker panels offers additional scope. Work that matters The Integrative Network Modelling Group within the Computational Systems
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stability, visibility and resilience of Australia’s electricity network. Leveraging world-class facilities and a connected network of industry and research partners, you will play a meaningful role
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, disease states and human genetic diversity. Supported by world-class infrastructure, a connected network of like-minded researchers, and a culture of collaboration and excellence, this role offers an
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. Evidence of peer-reviewed publications and research dissemination. Strong communication, stakeholder engagement and relationship management skills Ability to analyse complex data and prepare high
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engagement and relationship management skills Ability to analyse complex data and prepare high-quality research outputs and reports A developing research profile within the discipline or area of expertise A
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spatial organisation within complex tissues. The successful applicant will be jointly supervised by A/Prof Ellis Patrick and Dr Shila Ghazanfar and based within the Sydney Precision Data Science
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of health experience translating evidence into policy and practice and providing high-quality, evidence-based advice on complex public health or clinical issues strong planning, organisation and
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health · experience translating evidence into policy and practice and providing high-quality, evidence-based advice on complex public health or clinical issues · strong planning
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ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy relevant insights that advance the University's research agenda. In this role, you will work closely