This PhD position focuses on the theoretical, numerical, and practical aspects of adaptive neural networks, contributing to advancements in deep learning and image analysis. The research will involve designing novel neural network architectures and developing learning strategies. The candidate will engage in both fundamental research and practical applications, testing developed methods in computer vision. A strong background in computational and analytical methods, along with proficiency in Python and deep learning frameworks, is required.
