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Field
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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Computer Engineering Position Summary Application Deadline Applications screening will begin immediately. However, screening of applicants will continue until the position is filled. Starting date
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Models: Managing and performing experiments on relevant mouse or other animal models (e.g., phenotyping, behavioral testing, drug administration, survival studies, surgery, and tissue collection). Advanced
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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at the University of Washington (APL-UW) invites applications for a postdoctoral researcher to be deeply embedded in a research group that utilizes advanced ultrasound methods for both cardiovascular imaging as
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Science and Engineering, Environmental Engineering, or a related field with 0 to 2 years of experience. Demonstrated understanding of membrane separation processes and principles. Hands-on experience in
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through papers, artifacts, and presentations at top-tier venues. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, a physical/computational science discipline (e.g., physics, chemistry
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research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow
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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in condensed matter physics, material science, chemistry, or nuclear engineer and
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research findings and assists in the reporting of the results. Processing and visualizing fMRI data. Conducts ultrasound-based therapies and imaging. Conscientious discharge of research responsibilities