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technology be designed and evaluated so that it is usable, acceptable and aligned with users’ communication preferences and everyday lives? Your role Your PhD will primarily focus on computer vision and
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. These sources, commonly known as inverter-based resources (IBRs), typically contribute limited fault current, and the phase of the injected current is dictated by their control systems, which can vary
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Generative Artificial Intelligence (GAI) is rapidly transforming higher education, yet most current GAI systems are designed to support individual productivity rather than collaborative learning
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to teach robots to understand forest well enough to navigate and move through them in real time, using machine learning on LiDAR point clouds and camera imagery for real-time understanding of the forest
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to players’ needs in real time. The successful candidate will work with an interdisciplinary supervisory team, benefiting from expertise in adaptive systems, accessibility and human-computer interaction, and
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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safety margins are often required in structural design, leading to heavier structures, while maintenance intervals may be more conservative than necessary. Developing reliable methods to continuously
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Description Applications are invited for a fully funded PhD studentship in the School of Electrical and Electronic Engineering at the University of Sheffield, in collaboration with the Defence
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high-quality experimental datasets using laboratory flume facility. Developing and validating hydrodynamic models to simulate the effect of vegetation in different environmental conditions. Designing and
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partnership between Monash University (Australia) and the University of Bayreuth (Germany). Designed to train the next generation of global research leaders, the program enables candidates to conduct cutting