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evaluator technology, to include, but not limited to, Campus Solutions (CS), Imaging Workflow, Salesforce Cases, Microsoft Office Suite, and other applicable systems. Counsel internal constituents on degree
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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workshops. What You’ll Do: Design, plan and perform method optimization experiments independently Perform data analysis and interpretation, in particular image processing and analysis Present research reports
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engineering in healthcare. Minimum Education and/or Training: Master's degree in computer science, computer engineering, data science, information technology or related field required. PhD degree in data
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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of practice parameters, imaging techniques, cross-sectional anatomy, principles of electromagnetic and computer sciences, patient care/positioning, and MR safety requirements. Skills / Knowledge / Abilities MRI
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Master’s degree in physics, mathematical biology, computational biology or a related subject. They should have good skills in programming languages such as Python, MATLAB or R, and experience in image
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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mathematics and physical sciences, life sciences, and humanities and social sciences. IMB, comprising 31 faculty members, conducts fundamental research to advance the understanding of biological processes
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and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data