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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month 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
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. This research will explore novel approaches for enabling AI at the edge, focusing on one or all of the following aspects: i) hardware-aware scaling, model compression, and novel approaches for diverse low-power
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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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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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and fabricating innovative microfluidic devices; - Developing experimental methods to measure tissue permeability, elasticity, and compressibility; - Performing transport experiments under controlled
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be compressed as a zip file (TUAI-Jordan.zip). Candidates are responsible for ensuring that all information is true and correct, otherwise the position will be canceled if documents or information
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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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-language-action models, imitation and reinforcement learning, world models, multimodal perception, model compression and edge inference. A key aim is enabling robots to improve beyond initial demonstrations
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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