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Tomography (STOCT) for ultrafast volumetric vascular and hemodynamic imaging. The project combines optical imaging, computational reconstruction with compressed-sensing schemes and artificial intelligence
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-cell imaging and immunolabeling. These images will then be analyzed in 3D using automated methods. - Manipulate the physical constraints to which nuclei are subjected and compare transcriptional dynamics
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, sound mixing, motion graphics, captioning, compression and multi-platform delivery. • Use AI-enabled media tools for tasks such as transcription, captioning, noise removal, image enhancement
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, and motion graphics for storyboarding, website, social and electronic communications in a high quality manner that is consistent with the university's image and brand. Assist in developing strategies
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. The University of Derby’s role focuses on AI model development for automated analysis of ultrasound data, including ultrasound image/video segmentation, vascular structure detection, vein compressibility analysis
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of metastatic lesions [1]. Recently, the development of CT scanners that use photon counting detectors (PCCT) is revolutionising the way CT imaging is done, thanks to their higher resolution and lower radiation
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strength [4]. Recently, the development of CT scanners that use photon counting detectors (PCCT) is revolutionising the way CT imaging is done, thanks to their higher resolution and lower radiation dose
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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
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cache. AToM aims to prototype new classes of FM architectures that learn, end-to-end, to compress their sequences of internal representations, effectively redefining the model’s “atomic units
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Job related to staff position within a Research Infrastructure? No Offer Description The Internet of Things (IoT) paradigm is driving a massive increase in the generation of multimodal data on tiny