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requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, such as software testing and runtime verification. For further information, you may refer to
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plants). The associate will develop rigorous, scalable methods—spanning physics-based and data-driven models—for optimal power flow, demand response of flexible loads, transient/stability-aware dispatch
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3 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Economics Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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of information technology and communication; Solid background and research experience in two or more of the following areas: AI techniques to secure networked computing infrastructures; Data science and statistical analysis
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modeling, learning on graphs, generative AI for cybersecurity, and experience with AI-driven anomaly detection via temporal and spatial analysis. Foundational understanding of cyber-physical systems dynamics
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paths at DTU here . Further information Further information may be obtained from Professor Xenofon Fafoutis and Associate Professor Luca Pezzarossa . You can read more about ESE at www.compute.dtu.dk
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soft materials for microscopy imaging, and operating transmission electron microscope and atomic force microscope. This position will be expected to conduct data analysis, prepare publications, and
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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research across five main areas: advanced materials and manufacturing, deep underground science and engineering, critical and sustainable resources, smart and resilient cyber-infrastructure, and data science