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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
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. Photonics presents an ideal way to achieve this breakthrough due to its inherent parallelism and high speed. We aim to create accelerators for a broad set of problems, that are faster and more energy
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link to the application form, please visit the Fulbright website . The call for academic year 2025/26 is closed, keep an eye on the Fulbright website for a new call in Autumn. Parallel with
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