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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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techniques. The postholder will contribute specialist expertise in the acquisition, processing and interpretation of EBSD datasets and will help expand the use of these techniques within ongoing research
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of the lab is to characterize the role of nuclear pore complex machinery in mediating HIV-1 nuclear entry and subsequent downstream process that leads to productive viral gene integration. The goal
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skin biology projects that manipulate avian and vertebrate developmental programs. You will apply advanced imaging, genome editing and functional genomics to reveal how genes sculpt morphology. You will
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 hours ago
demonstrate knowledge or research experience in at least two of the following areas: • Bio-integrated building systems, photobioreactors, microalgae cultivation, or biological process systems. • Building
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at establishing synthetic motion as a new paradigm for spatio-temporal metamaterials. Collaboration within a multidisciplinary team involving experimental and theoretical physicists. Involvement in publications
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biomaterials, development of wear-testing methods, crown-material processing, mechanical characterisation, surface characterisation, micro-CT and quantitative image analysis. An interdisciplinary and
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, optical encoding, computational imaging and AI-assisted reconstruction Design, build and calibrate optical imaging and three-dimensional sensing experimental systems Develop algorithms for image processing
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across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three distinct problems: rare-event searches in particle
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). This is an exciting opportunity to contribute to an internationally significant programme within the university. The selected candidate will work within the broader Innovation for Conservation (ICON) team