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Postdoctoral Associate- Medical Imaging Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Physics or Engineering, e.g. Medical Physics
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About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million pound research funding and collaborates with other universities and Faculties within KCL, the NHS
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
to misapprehensions about the outer planets and moons. In addition, many images were never processed in to full color and remain monochromatic. Digital image processing has now advanced significantly, permitting new
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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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). The work will be carried out in Grenoble within the GPM2 team (Physical Engineering and Mechanics of Materials) of SIMaP laboratory (Science and Engineering of Materials and Processes). This research is part
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conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
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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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, This opportunity allows a postdoctoral researcher to work on an industrially facing project, applying artificial intelligence (AI) methods to better inform processing to obtain high-quality engineering polymers from
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Central Oxford We are seeking a full-time Postdoctoral Research Assistant to work under the supervision of Professor Reece Oosterbeek and Dr Aaron Graham at the Department of Engineering Science
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, genetics, and neurodevelopment, along with access to state-of-the-art imaging technology and advanced computational resources. The fellow will have structured opportunities for professional development