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Eligibility criteria - physics with knowledge in optics - knowledge in microscopy - knowledge in single-molecule imaging (acquisition and processing) - knowledge in photophysics - knowledge in cell culture
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The successful candidates will join the Computer Vision, Machine Intelligence and Imaging research group, led by Prof. Djamila Aouada, to conduct research in Artificial Intelligence with a primary
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of electron microscopy and beam-material interactions. The ideal candidate will have a basic understanding of image processing. Core competencies: – Knowledge of image processing software (Avizo, Dragonfly, etc
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, prototyping, machining, assembly, integration, testing and operation of custom-built instruments. • Scanning Tunneling Microscopy Including Spectroscopic Imaging, Josephson and Andreev Modes Concepts, operation
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instruments. Concepts, operation and maintenance of low temperature spectroscopic imaging STM including, quasiparticle interference imaging of correlated metals, topological states and superconductors
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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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Substantial published experience with PET imaging analysis. Experience with EEG data analysis or digital signal processing. Working knowledge of scientific computing languages, including Matlab, Python