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into the life of the School through the development of high-quality, productivity-driven research networks across RMIT and with local and national, internal and external partners. Please note: We welcome
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materials. 4. An established network for collaboration in materials characterization, device fabrication, and application development. 5. Independence, initiative, and strong time-management, planning
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with senior stakeholders from government, industry and/or civil society Excellent written and oral communication skills, with the ability to present complex concepts clearly to diverse audiences
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period of 3 years. The position is subject to external financing through the RCN funded project "Quantum Oscillator Networks for Optimisation and Machine Learning" (project number 358752). About the
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evaluation of complex implementation programs aligned to national priorities Translating research into policy, practice and system-level impact Providing expert advice to government, industry and community
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for reliability and risk-informed decision-making. This role is ideal for someone who enjoys tackling complex challenges and working across both research and industry environments. You will engage with a variety of
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection
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general aim is to develop new conceptual frameworks and models for the study of biological complexity, focusing on the intersection of development and evolution. The research group is primarily theoretical
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MHRG Mental Health Research Group. This ambitious initiative aims to strengthen mental health research capacity and capability across the South-West Peninsula (SWP), a region marked by high and complex