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cellular biology laboratory work, providing scientific support to an NHMRC funded project in a mouse model acute lung injury and a collaborative microbiome project in stool samples collected from patients
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Associate: Physics- Informed Data Driven Windfarm Modelling For this position the research activity will apply and advance on fast CFD methods for full wind farm simulation based on Large-Eddy-Simulation
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. A high degree of self-motivation, time management, critical thinking, adaptability to changing needs and independently managing multiple tasks. Demonstrating flexibility in response to evolving needs
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from multiple sources, ensuring data consistency, accuracy, and integrity. Manage and test the AI models for the de-identification of notes, and maintain an identifier registry and opt-out process
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(10kHz) as well as standard PIV, LDV, PDA, Raman, Rayleigh and LIF. Computational capabilities include Large Eddy Simulations (LES), Probability Density Function (PDF) and Multiple Mapping Conditioning
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, modelling, and reporting across multiple funding sources. You’ll work with large, complex data sets to provide insights and support informed decision-making that contributes to the success of these diverse
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connects real people, physical test facilities, and sophisticated modelling to support researchers, innovators, and policymakers in shaping the energy landscape of the future. NEAC includes: The Living Lab
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of education, training, and experience. Demonstrated understanding of cultural models of inclusion, cultural and social determinants of wellbeing for First Nations people with disability Demonstrated
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processes, system requirements and functionality, etc. Compile complex data models from multiple sources of truth and provide detailed analysis trends and inconsistencies. Develop recommendations
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Kerryn Butler-Henderson via kerryn.butler-henderson@rmit.edu.au by 31 October 2022, with: A cover letter - outlining interest and alignment with the proposed research (see Further Information) A copy of