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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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printing experience in MRI image reconstruction (nonuniform FFT, compressive sensing, etc.) a good publication track record experience in supervising students. Your benefits You will have access
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investigates a radically new paradigm for Embedded AI: enabling devices to dynamically compress and adapt neural networks directly on-device after deployment. Inspired by how humans continuously optimize
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for analysing authentic, synthetic, and manipulated images or videos. The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be
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smart‑city systems. AI vision tools can recognize faces, detect objects, track people, and generate synthetic images with ease. These capabilities also introduce major privacy and ethical risks, amplified
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advantageous: 3D cell culture and standard biological assays (cell viability, immunostaining, gene/protein expression); mechanical characterization of soft materials (rheology, compression testing); or live-cell
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standard biological assays (cell viability, immunostaining, gene/protein expression); mechanical characterization of soft materials (rheology, compression testing); or live-cell imaging and image analysis
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within the zone structure for the Contract Colleges (CC), Endowed (EN), and Student and Campus Life (SCL) zones. As a key steward of the University’s facilities, FM is responsible for facility assessments