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, suggesting that some physics underlies the fault network patterns (Perrin et al., 2016). Scientific objectives and methodology The project FAILLES aims at developing innovative AI algorithms capable to detect
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technology (PAT) adds cost, time, and introduction of human error. This project aims to develop a novel, label-free microbial detection method, coupled with machine learning tailored for cleaning validation
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The successful candidate is expected to take a leading role in defining, acquiring, managing, and scientifically contributing to projects around AI-based health monitoring and Fault Detection
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degradation, and connect them to cell- and pack-level safety performance. · Design model-based and data-driven frameworks for battery management systems, including health monitoring, early fault detection, and
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Solution project "ASMADI - AI based Spectrum Monitoring for Anomaly Detection and Identification" to explore AI-driven solutions for onboard spectrum monitoring, capable of autonomously detecting
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Position summary: We
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: How can we ensure flexible routing of energy in a bottom-up manner from distribution to transmission scale? Will hybrid energy routers ensure asynchronicity under faults, power swings, unstable
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research combines atomic physics, quantum control, and scalable architectures for fault-tolerant quantum computation, hybrid quantum simulation, and quantum-enhanced sensing. Project background Our group
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strategies to automate data pre-processing, from feature detection to componentization and library-based identification. Develop advanced tools for accurate and comprehensive data processing of LC-MS and
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streams for reliable AI model training. Design of digital twins for process monitoring, fault diagnosis, and predictive maintenance in chemical plants. Key Responsibilities: Create and implement hybrid AI