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. This project aims to design enzymes that do not exist in nature, combining physics-informed design principles, AI-driven protein engineering, and synthetic biology. About the position As a doctoral student, you
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strong interest in systems and control, model predictive control, and energy systems. Some experience in basic software engineering and implementation of algorithms in real-world experiments or industrial
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learning models to predict how materials break at the atomic scale. You'll create AI-driven simulations that reveal why tungsten, the leading fusion reactor material, transitions from ductile to brittle
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will
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databases and digital collections (such as newspaper archives, policy documents, and media sources) and apply techniques such as crisis event detection, computational narratology, and semantic modelling. In
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are equipped with highly sought‑after skills in modelling, simulation, and data science, preparing them for impactful careers in research, technology, and beyond. If you’re excited by the idea of using advanced
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approaches for identifying, modelling, and integrating uncertainty factors originating from IoE devices and system dynamics, combining data-driven learning with knowledge-based modelling techniques
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12 Mar 2026 Job Information Organisation/Company University of Galway Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions Undergraduate
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of wind turbines. Despite remarkable progress in structural health monitoring boosted by AI, purely data-driven models have no physical interpretability and poor generalization capabilities. Thus
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Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology The growing field of soft robotics has unlocked new possibilities for robotic systems to navigate uncertain and