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Research Associate to join a research team advancing the modelling, control, and real‑time validation of power‑electronics‑dominated power systems. This role supports the ARC Discovery Project “Making weak
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inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native
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that result in better control of M. tuberculosis infection in cell culture and in mouse models. The position requires working in a Biosafety Level 3 laboratory and working with mice, including performing
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that transcriptome-based analyses alone are inadequate. We have pioneered new conceptual and technological frameworks to interrogate these mechanisms, including inducible and reversible global microRNA loss
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dynamics in complex, large-scale project systems develop formal, computational, or simulation-based models to study how decisions, incentives, feedback, and learning evolve over time in megaproject
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regionalization and lamination of the human cortex and their deregulation in disease using different in vitro models derived from human pluripotent stem cells. The successful candidate will be in charge of
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of identity resolution concepts Familiarity with data quality frameworks and reconciliation patterns Knowledge of SCD Type 2 and historical data tracking Experience with Git-based version control and CI/CD
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developed the SPARCED pipeline to convert structured lists of species, parameters, and reaction types into an SBML (Systems Biology Markup Language) model file, and we created a model based on one
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standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and
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of the innovation delivery operating model, owning its ongoing evolution and institutional adoption, driving strategic alignment with UNSW’s digital transformation agenda and investment priorities. Manage and develop