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with chemists and materials scientists is essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is
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platforms, ensuring they are scalable, reliable, secure, and cost-optimized. Make critical design decisions and setting technical standards following Azure Well Architected Framework. System Design and
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include: i) resolution of the dynamics and evolution of the primary and secondary atomization zones with a view to optimize and control spray formation processes. The e-fuel blends will include miscible and
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@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent
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the Program Lead. You’ll be at the heart of an innovative and community-driven research program that empowers Australia’s First Nations communities to achieve optimal health and wellbeing. This is your chance
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Optimizing a 3D microfluidic IVD model to study cell responses to wear particles, refining culture conditions, and analysing cytotoxic and inflammatory mechanisms. Optimizing a 3D microfluidic IVD
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framework for identifying optimal study designs. At La Trobe, The Research Fellow will be a member of the Infectious Disease Modelling Group in the Department of Mathematical and Physical Sciences (School
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to the future of research computing, we encourage you to apply. Key responsibilities will include: Design, deploy, and maintain High Performance Computing (HPC) and research cloud systems, ensuring optimal
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, developing, optimizing, automating, documenting, and managing data operations, specifically processing Electronic Medical Records (EMR) in a secure cloud environment. The scientist will collaborate with data
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms