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related field of science. Two (2) years of full-time experience in the operation of microscopes and experience with cryo-EM image processing. Preferred Qualifications: Experience in cryo-EM sample
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multimodal imaging and vision language models. Validate performance of the AI technology in clinical settings. Funding Both Home and International students can apply. Home tuition fees will be covered
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UM1 center aimed to map the human and non-human primate brain atlases using state-of-the-art technology pipeline consisting of novel tissue processing methods, molecular probe labeling, and volumetric
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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Reconstruction of atomic resolution images from sparse datasets of radiation sensitive materials in scanning transmission electron microscopy School of Electrical and Electronic Engineering PhD
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biology, engineering, biophysics, computer science) and experience in 3D imaging of brain tissue, image segmentation, and handling large datasets. You are comfortable with machine learning and image
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the Biomedical Engineering Program, developing courses for the traditional classroom setting, computer labs, and for online education; help setting program goals, developing and continually updating the curriculum
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in vivo imaging and computation, and in vivo molecular biology, where the Postdoc position (LBB, ETH Zurich) will be focusing on the further development of our multiphoton intravital imaging technology
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Research Associate Development & application of wire-mesh sensors for thermohydraulic test facilitie
to the success of the whole institution. At the Faculty of Mechanical Science and Engineering, Institute of Power Engineering, the Chair of Imaging Techniques in Energy and Process Engineering offers a position as
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 41 minutes ago
structure engineering and passivation of silicon-based photodetectors [1, 2]. Developments in recent years has been geared toward wafer-scale processing as well as improving the space worthiness of MBE