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Field
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graph neural networks for complex sensor networks such as those involved in brain imaging Develop and test data-driven methods for image and video processing for microendoscopy. Key Duties and
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Description Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid
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Position Summary Postdoctoral Research Associate position open in the Williams Lab in the Department of Ophthalmology and Visual Sciences. The Williams Lab is seeking a postdoctoral researcher with
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in sustainability, photonic and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach to provide leading-edge research in
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, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques
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to student learning, research, health care, and service is seeking applicants for a postdoctoral fellow position in the Department of Pediatrics, Division of Medical Genetics. The candidate will join a dynamic
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interoperability, and process experimental data in a non-FAIR compliant manner. Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion
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preparation for imaging Strong programming experience with C/C++ and the ROOT data analysis framework is required Desired qualifications (can be waived): Understanding of data processing pipelines in nuclear