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chicken models. - Expertise in confocal microscopy, live imaging, image analysis and segmentation, immunostaining, molecular biology and electroporation. Website for additional job details https
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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 | 26 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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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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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
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data storage, enabling the encoding of text, images, videos, and more into nucleotide sequences. While DNA data storage technologies are advancing rapidly, computation on large DNA-encoded databases
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Research Associate, Radiology and Imaging Services Posting Number req26573 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu/ Location Tucson Campus
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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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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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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