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-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems. Prepare and draft technical reports, conference/journal papers, and
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techniques with physics-based models to enable accurate damage detection, condition assessment, and lifetime prediction. Strong emphasis is placed on data-driven engineering, including signal processing
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and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the Niels Bohr Institute, University of Copenhagen, is seeking a Quantum Systems Modeling & AI Engineer or Academic Research
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work focuses on integrating high-frequency clinical data, advanced signal analysis, and data-driven modeling into predictive models and personalized treatment strategies. In doing so, you strengthen
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approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models with emphasis on: Data-driven practical
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steel or aluminium structures Welding, fabrication, or construction automation Experimental structural testing and instrumentation Numerical modelling and simulation AI/data-driven methods for engineering
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Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines protein structural insight with hands‑on ML development: adapting and applying
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. Duties SciLifeLab is now recruiting Data Engineers to integrate AI within SciLifeLab’s ecosystem of data and IT services for data-driven research. The role involves developing and maintaining systems and
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algorithms for anomaly detection and predictive maintenance of subsea structures Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of AI-driven models to identify