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approaches in representing long correlation in physical observations. This project aims to leverage these state-space representations to develop foundation models of ocean satellite data observations
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. To this end, part of the project will be dedicated to the development of efficient computational strategies: Achieving real-time image reconstruction necessitates optimized numerical solvers and meta-learning
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the evolution of medical imaging with the Compton XEMIS telescopes. 1.2. Scientific/technical challenges Considered by many to be the detectors of tomorrow, instruments comprising large quantities of liquid xenon
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of the problem can be found in many areas and contexts (e.g. industry development, value chain coordination, tourism) where multiple actors produce data that would be valuable to many stakeholders but are not open
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the evolution of medical imaging with the Compton XEMIS telescopes. 1.2. Scientific/technical challenges Considered by many to be the detectors of tomorrow, instruments comprising large quantities of liquid xenon
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of rehabilitation exercises) will develop an improved computer vision-based approach for functional capacity evaluation (FCE), namely, the assessment of a person’s ability to perform daily living activities or work
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-correction. This PhD falls into the fields of error-correction and Deep Learning. Due to the inherent unreliability of the DNA storage support, the goal will be to develop advanced deep learning models
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: Developing AI-driven mechanisms to map disparate IoT protocols (e.g., Matter, CoAP, MQTT) to YANG models enriched with SID mappings, ensuring semantic consistency and interoperability. SID Registry Enhancement
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the tolerancing of the assembly before manufacturing a prototype. The student will contribute to the development of a phantom eye and a radiometric measurement bench integrating the constraints of retinal imaging
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music synthesis system that is trained only on commercially usable data? Can we train a high-quality music synthesis system on a single GPU? 1.3. Considered methods, targeted results and impacts