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exacerbated by the occurrence of severe weather conditions, which have already been predicted to increase in the future across Norway. Addressing the challenges of emerging contaminants requires a paradigm
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(ISS), which are the technical foundation for an automated and adaptable electricity network. They minimise asset unavailability and downtime, enabling real-time adaptive network control. They produce a
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for translation and testing model predictions; bioinformaticians, investigating evolutionary conservation of sequence, (co)expression and regulatory modules; and modelers, developing crop-specific integrated plant
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predictive models and novel measurement methods that improve coating performance for corrosion protection, heat reflection and radiation shielding. You will collaborate closely with our industrial partners
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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accomplished through a combination of experiments and computational methods across various length scales. Such a modelling framework could enhance the prediction of the capacity and crashworthiness of components
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leader will be the Head of Department. About the project Modern control systems rely on being at least partially predictive while digital twins also must maintain a state model of the targeted cyber
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effective flow control strategies Develop ML models to predict complex flows in porous media configurations Design optimised porous media geometries for enhanced mixing efficiency. Training opportunities
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of novel computational methods and models, including extending methods already under development in the lab, with a particular focus on ways of exerting more precise control for protein design. In
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for disease detection, progression modeling, and treatment outcome prediction. Perform rigorous data cleaning, preprocessing, and quality control of ophthalmic imaging (e.g., OCT, fundus photography) and