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Field
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: Practical experience with real-time power system monitoring tools, PMU infrastructure, and automated disturbance detection systems. Publications/Research: A strong record of academic publications, technical
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relevance. This position will be anchored at Communication, Control & Automation Section at ECE and will be supervised by Professor Qi Zhang, whose research focuses on Edge Intelligence, Goal-oriented
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: Leveraging LLM / VLMs for interdisciplinary problems, such as: AI-driven scientific discovery, automating hypothesis generation in finance / natural sciences / physical sciences, enhancing collaborative
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, transport options and CO2 sources, as well as data on local regulation, (market ready) technologies and associated costs. The aim is to develop a (semi-)automated data acquisition workflow that will allow
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include 1) developing automated, precise, robust, intensified, modular, and electrified (A-PRIME) water desalination technologies to support a circular water economy; 2) optimizing the coordinated operation
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of machine learning methods for assurance on hardware devices like PCBs and ICs as well as on the development of automated hardware reverse engineering approaches at the IC and PCB levels for design recovery
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programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing
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using a combination of multimodal imaging, computer vision, and lab automation platforms that govern entire workflows (e.g. ThermoFisher momentum software scheduling Hamilton liquid handlers and high-end
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expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in automated theorem provers and recently