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advertisement The position A PhD position is available at the Department of Automation and Process Engineering (IAP), Faculty of Engineering Science and Technology in advanced microscopy methods for bioimaging
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digital photography, preferably within special collections, library, archives, museum, or other relevant institutions. Demonstrated experience in image processing, including image editing applications
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of their respective concentrations will be investigated and correlated with the velocity field recorded by PIV (Particle Image Velocimetry). In parallel with the use of standard post-processing methods, an innovative
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living on or near Indian reservations in accordance with applicable law. To apply, visit https://jobs.weill.cornell.edu/NY/job/New-York-Medical-Assistant-Breast-Imaging-NY-10021/1318372000/ Copyright 2025
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diagnostic imaging, and provides perdiem radiologic and ECG services as needed. The position requires strong technical skills, attention to regulatory standards, and effective communication with campus
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implementation of elastomer adhesives Optimization of formulation for 3D printing and 2D printing Contribute to ongoing ionic liquid formation projects Design and prototype and scalable processing Collaborate with
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Project Assistant to support the DIEGEST project, an international initiative developing a digital tool to transform ancient coin die studies. You will prepare and quality-check coin image datasets and
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approaches for imaging live and fixed tissues at high resolution and further develop tissue clearing approaches invented within the institute. This is a project in collaboration with Dr James Manton. The goal
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super‑resolution microscopy and quantitative live-cell imaging using diverse fluorescent reporters in cultured cells and early embryos. These experimental approaches are integrated with advanced image
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metals and excellent resistance to wear and corrosion, is ideal for extreme environments. However, its high melting temperature and brittleness make it difficult to process using conventional methods