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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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method (measurement of energy stored) will be developed in the laboratory. You will work at the intersection of experimental testing, storage modelling, and energy system monitoring and control
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leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL website: https
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for developing artificial intelligence methods for cardiac view identification and pose estimation from ultrasound video, as well as designing a closed-loop robotic system for autonomous ultrasound scanning and