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Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a
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, the process of recovering real-space images remains unclear due to the inherent and currently intractable complexity of deep learning methods. In this project you will develop Physics-Aware Super-Resolution
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conventional data analysis. We aim to learn about the advantages and limitations of such AI-approach. The student needs to be enthusiastic using Python for data analysis. The project will help you to develop
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Oceanography Centre Southampton. The project will help you to develop skills and expertise in quantum technologies, atomic and laser physics, microfabrication, photonics, imaging, control and instrumentation
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Supervisory Team: Rand Ismaeel, Milos Nedeljkovic Project description This exciting multidisciplinary PhD project aims to develop a new class of marine sensors based on cutting-edge MID-IR silicon