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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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, into the research groups of Prof. Oliver Buxton whose expertise is on turbulence, wind-energy flows, and turbulent cloud microphysics and Prof. Luca Magri whose expertise is in scientific machine learning
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: Prof. Walter Karlen Location: University of Ulm, Germany Duration: 3 years Start date: August 2026 at latest The PhD position is based at the Institute of Biomedical Engineering at the University of Ulm
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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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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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The laboratory of Prof. Xavier Banquy at Université de Montréal is seeking a motivated PhD candidate to investigate interaction forces between biomimetic surfaces at the nanoscale. This project
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for the built environment. Particular emphasis is placed on artificial intelligence in construction, building information modelling, point cloud capturing and processing, as well as construction robotics. The PhD
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, data-driven methods for meshfree simulation directly on large-scale LiDAR point clouds. Job description Accurate urban wind simulations are vital for understanding microclimate, urban heat, and pollutant
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reinforcement learning for edge-cloud-based computation. In both cases, vehicles and robots must be able to navigate around obstacles and manage safety constraints along the planned trajectory, even in situations
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secondment(s):•HCT: Dr. K. Schuster M21-26 (6 months duration) “Cylinder drilling, geometrical adaptation towards smaller preforms”•Iscte: Prof. T. Alves M41-M42 (2 months duration) “Experimental demonstration