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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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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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of new physicians. Assists radiologists and PhD's in developing new protocols and imaging techniques that are unique to facility. Participates in research initiatives and development of research protocols
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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the ECHOES ERC project. The primary objective of this PhD is to develop and validate innovative post-processing techniques for the detection of exoplanets in coronagraphic images. Unlike traditional methods
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, Interventional CT, and Emergency Imaging in the Duke Medicine Pavilion, ED, and PORT (major surgery). What you will do: Perform complex specialized tasks associated with the operation of CT scanners, power
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grant proposals/studies as needed. Qualifications Education Requirements: PhD degree in Computer Science, MD degree, or related field. Experience and Skills: Experience in image or signal processing
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or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software engineering
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)/computed tomography (CT) angiography imaging. As a Project Scientist, you will work independently and in cooperation with Piotr Slomka, PhD, Director, Innovation in Imaging and Principal Investigator, as
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diagnostic imaging studies under the direction/supervision of a radiologist. Assist with the education and training of new physicians. Assist radiologists and PhD's in developing new protocols and Ultrasound