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, focusing on AI- based quantitative imaging of human hemodynamics, as well as neural network models of nonlinear ultrasound for imaging and quantitative tissue property estimation. The outcome of
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, focusing on AI- based quantitative imaging of human hemodynamics, as well as neural network models of nonlinear ultrasound for imaging and quantitative tissue property estimation. The outcome of
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control room systems, ensuring the integrity, safety, and reliable performance of video laboratories, digital production workflows (including streaming), and campuswide signal distribution pathways
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-security priorities and challenges. Excellent interpersonal and communication skills, including presenting complex technical ideas to varied audiences. The ability to assess stakeholder needs and develop
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(Terraform and CloudFormation), including IAM resources, networking (VPC/subnets/routes), security groups, DNS, and AWS Organizations configuration across development, test, and production environments
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conforms to the University standard for network and system security. Application Administration Assist as needed in application development in the area of deployments, migrations, upgrades and configurations
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Neutral Infrastructure (dfCO2), this role contributes to Program 4: Machine Learning for Carbon Performance (https://dfco2.org.au/program_4 ) that aims to advance the next‑generation AI methods to model
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analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT
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Assessment (TAE40116) or a PhD related to ICT, Cybersecurity, and Networking. The positions are expected to begin in the second semester of 2026. About the role As a VE Teacher in ICT – Cybersecurity and
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, collaborative networks, and a culture of innovation that supports both career growth and meaningful contributions to the wider community. The School of Mechanical and Manufacturing Engineering that is