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equipment, particularly in imaging and electron microscopy, image analysis, and bioinformatics. The team is composed of five people. The thesis will be carried out as part of a collaborative ANR project
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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that has been generated in a prior laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge
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electrode structures. • Prototyping of the identified structures via stereolithographic 3D printing and advanced textile techniques. • Development of advanced imaging and characterization technologies (X-ray
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wet- and dry-lab scientists that are studying RNA, chromatin and transposon biology, covering all aspects of this RNA-based immune system, including the biogenesis of small non-coding RNAs and the
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-consuming and inefficient. This project aims to develop a faster, AI-powered method using Hyperspectral Imaging (HSI) to enable reliable, scalable microplastic quantification in real-world agricultural
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qualified women to apply for the position. Your tasks #designing, planning and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques #developing computational codes
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is expected to soon be able to diagnose diseases occurring outside the retina. OCT images can be aberrated by the eye itself and imperfect optical design. Ocular imaging with adaptive optics promises
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fundamentals, including image processing, pattern recognition, and 3D geometry (share your GitHub profile) LanguagesENGLISHLevelExcellent Research FieldEngineering » Computer engineeringYears of Research