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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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investigator, the Short-Term Casual will help the lab?s image processing and analysis to ensure that ongoing projects in the lab run smoothly and meet targets. Responsibilities Coordinating with PI and clinical
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microscopy in materials science and/or biology-related fields is required. Skills: Operation and maintenance of TEM and SEM, and ability to assist with interpretation of imaging results Ability to manage
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computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving, lifting
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computer-based image and data processing. • Optimizes imaging techniques and uses appropriate judgment to maximize image quality. Patient Care & Communication • Explains imaging procedures to patients
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of deep learning in many disciplines, particularly computer vision and image processing. Consequently, coding architectures based on deep learning and end-to-end optimization have been proposed [Ding 2021
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at the forefront of molecular biology and medicine. Your mission As a research engineer, you will contribute to the overall operation of the laboratory, including cell line maintenance, management of reagent stocks
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Intelligence group at the Department of Computing Science. More info about the research groups: https://www.umu.se/en/department-of-computing-science/research/research-groups/ . Qualifications The successful
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Computer Science, MD degree, or related field. Experience and Skills: Experience in image or signal processing, medical data processing, artificial intelligence and/or computer vision. Basic system administration
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Computer Science, MD degree, or related field. Experience and Skills: Experience in image or signal processing, medical data processing, artificial intelligence and/or computer vision. Basic system administration