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Field
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Modelling of Weather Impacts: Build machine learning models that analyse these integrated data streams to identify early precursors of weather-induced disruptions. The goal is to forecast turbulence zones
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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, exerting a transient influence on the landscape and increasing the probability of subsequent and recurrent failures; processes which are currently not accounted for in most landslide susceptibility models
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing
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. This position provides a unique chance for a highly motivated researcher to contribute meaningfully to innovative computational modelling focused on achieving net-zero goals. Number Of Awards 1 Start Date 1st
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interdisciplinary training, suitable for candidates from biochemistry, molecular biology, computational biology, chemistry, or data science backgrounds. You will gain experience in: Molecular modeling, QM/MM & MD
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Start Date: Between 1 August 2026 and 1 July 2027 This project aims to frame hypersonic aerodynamics as a grand inverse problem. By combining modern state-of-the-art AI (foundation models, physics
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sustainability assessment framework and computational tool using Model-Based Systems Engineering (MBSE) and lifecycle modelling techniques. Apply and test the framework through case studies (e.g., ADR, ISRU, In
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parameters (build orientation, resin choice, post-processing) and aerodynamic performance in wind tunnel tests. Develop an integrated performance model linking process data, 3D metrology, and wind tunnel
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therefore investigate how these variations affect signal detectability and classification performance of AI models for fall detection. The research will combine experimental studies on different floor systems