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the corrosion of reinforcing steel, which compromises safety, durability, and sustainability. Current corrosion prediction models often fall short because they rely on oversimplified assumptions and
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settings, while providing essential process insights (such as electrode spacing, solvent chemistry, and operational voltage/current conditions) to support further technological development. Project specific
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excellent’ (3*) while 90% of its research has been classified as having ‘outstanding’ (4*) or ‘very considerable’ (3*) impact. The Centre for Engineering Research and the Network and Security Research Centre
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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Optics, Quantum Nanophysics and Quantum Information group of the Faculty of Physics. We are member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe
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IAPETUS DLA PhD Studentships – Geography, Natural and Environmental Sciences, Mathematics, Statistics and Physics, Civil Engineering, Computing, & Geoscience Award Summary 100% of tuition fees paid
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measurements, along with potential involvement in electrical and spectroscopic techniques. This project offers extensive training, providing students with the skills to excel in both academia and industry
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship co-funded by the partner Hydro International and University of Exeter Faculty of Environment
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Primary supervisor - Dr Penelope Pickers Background Current projections of the global land carbon sink are widely divergent, because there is currently no robust method to separate net ecosystem
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Autonomous vehicles (AVs) are advancing rapidly, yet their safety assurance remains limited by the opacity of modern AI systems. Current machine learning–based decision pipelines often function as