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signal processing, deep-learning, and error-correction, with an application into the field of bio-technology. The PhD student will mostly work on developping methods issued from error-correction and Deep
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propose to contribute to the optimization of this technology using experimental campaigns integrating new photodetectors, new pixels to measure the charge signal and new information processing methods in
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on advanced AI methodologies. Incorporating physics-guided deep learning models that explicitly integrate the underlying MRI signal formation process to enhance reconstruction reliability and interpretability
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propose to contribute to the optimization of this technology using experimental campaigns integrating new photodetectors, new pixels to measure the charge signal and new information processing methods in
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learning. Collaboration across computer science, signal processing, and musicology fosters innovation in both technical development and artistic expression. 1.5. References [1] Evans, Z., Parker, J. D., Carr
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broadcast communication protocols. Solid background in signal processing, probability, statistics, and optimization techniques. Experience with mathematical modeling of communication systems. Basic