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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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modelling, simulation tools such as COMSOL, and programming in MATLAB, Python, or C++. You'll be part of a supportive environment that values creativity, technical excellence, and impactful research. By
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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communication systems which have different performances under different channel conditions. - Providing high-speed underwater communication, for industrial applications in real time underwater communications
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. application of playing style, tactics and responding to an opponent’s movements) the effectiveness of individual athlete programming needs to also account for player position and playing style differences
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of learnt features across the layers of various neural network architectures. -- Investigate the role of different types of layers (e.g., residual blocks, transformers) in shaping the learnt features and