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Field
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, portable ultrasound, and linked electronic health-record data. Research is conducted in close partnership with cardiovascular clinicians, imaging specialists, biomedical engineers, statisticians, computer
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. • Coordinate research objectives and technical requirements with clinicians, engineers, and multidisciplinary project teams. • Integrate information from medical imaging, vascular anatomy, and device behavior
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. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate
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Job Description Apply now Job Title: Postdoctoral Associate - Aortic Imaging & Clinical Research Division: Surgery Work Arrangement: Onsite only Location: Houston, TX Salary Range: $62,232 FLSA
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Job Description Apply now Job Title: Postdoctoral Associate - Aortic Imaging & Clinical Research Division: Surgery Work Arrangement: Onsite only Location: Houston, TX Salary Range: $62,232 FLSA
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-affiliated with the Yale Stem Cell Center, the Department of Comparative Medicine, and the Department of Surgery, providing a highly collaborative and multidisciplinary ecosystem. The position is ideal
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 7 days ago
optical coatings EUV/X-ray instrumentation Scientific detector development Scientific programming and numerical modeling Image processing or data analysis Laboratory instrumentation and experimental methods
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degree at the time of hire in the field of Electrical Engineering and with expertise in applied electromagnetic and microwave imaging algorithm development. 3 years of experience in applied
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degree at the time of hire in the field of Electrical Engineering and with expertise in applied electromagnetic and microwave imaging algorithm development. 3 years of experience in applied
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, or a related STEM field. Experience with EHR data, machine learning or deep learning, natural language processing, medical imaging, or large language models (LLMs) is highly desirable. Familiarity with