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(XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and interpret complex 2D and 3D datasets. Working closely with the research lead and an
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equipment or related technologies artificial intelligence, machine learning, image analytics, computer vision or related computational approaches applied to healthcare research (desirable) a peer-reviewed
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research experience in medical-image segmentation and three-dimensional anatomical-model development. Experience processing CT, MRI, or comparable volumetric medical-imaging datasets. Demonstrated ability
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of the recruitment and description of the project] * Background of the recruitment and description of the project Performing advanced research on energy processes and systems aimed at decarbonization and conducting
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high-frequency ultrasound imaging platform, including hardware-software integration and advanced signal processing algorithms for structural and functional imaging, in order to deliver clinically
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the first weeks of life the infant gut goes through an ecological succession process, which remains difficult to study mechanistically due to the challenges in reproducing early-life gut conditions in
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Fellow to conduct cutting-edge research in high-resolution electromagnetic imaging and intelligent sensing. The successful candidate will contribute to the theoretical development, algorithm design, and
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1. Possess a Ph. D Degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 2. Strong knowledge in semiconductor device physics. 3. At least 4
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Description The Department of Radiology at Weill Cornell Medicine is now accepting applications for the Cornell NYC AI for Medical Imaging (AI4MI) Fellowship. Applications submitted by March 15
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the Principal Investigator (PI) on one or more research projects. He/she will be required to contribute the followings: • To construct, analyze the medical imaging data, and define the data analytical tasks