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, experience and personal qualities. All documentation must be provided in a Scandinavian language or English. If the attachments exceed 30 MB in total, they must be compressed before uploading. Please note that
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and personal qualities. All documentation must be provided in a Scandinavian language or English. If the attachments exceed 30 MB in total, they must be compressed before uploading. Please note that
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the attachments exceed 30 MB in total, they must be compressed before uploading. Please note that information about you as an applicant may be disclosed publicly even if you have requested not to be included
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paid to performance across datasets, content sources, generation methods, and real-world transformations such as compression, resizing, and re-encoding. The final scientific scope will be refined
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documentation you would like us to consider. Attachments must be uploaded as separate files. If the attachments exceed 30 MB, they must be compressed prior to upload. It is the applicant's responsibility
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across datasets, content sources, generation methods, and real-world transformations such as compression, resizing, and re-encoding. The final scientific scope will be refined together with the successful
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[Srdinsek2025], the sole structure of the tensor networks that could be “salvaged” was the canonical form that provided the ability to dynamically compress/decompress. During this PhD, we will develop more; we
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Scandinavian language or in English. If the total size of the attachments exceeds 100 MB, they must be compressed before upload. Please note that information on applicants may be published even if the applicant
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to guide where to ablate. We call this electroanatomical mapping, and it is central to modern-day VT ablation. However, compressing these signals into 1 or 2 descriptive features means we are using only a
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 28 days ago
retrieval: reconstructing the original digital data from the sequenced symbols. This PhD project focuses on the first and fourth challenges, by developing joint compression and error-correction algorithms