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neuroscience, neuroimaging, machine learning and neurofeedback, providing an interdisciplinary research environment for candidates interested in the neural basis of emotion and consciousness. Job description: We
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/or pulling objects weighing up to or over 50 pounds; standing or walking with objects weighing up to 25 pounds; working in confined spaces; occasionally sitting at a computer workstation for extended
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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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records, and study documentation. Requirements: Bachelor's degree or above in Interactive Media, Human-Computer Interaction, Interaction Design, UX/UI Design, Game Design, Psychology, Computer Science
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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; heat transfer; heat pipes; two-phase flow; small-angle neutron scattering; radiography; tomography; image processing; X-ray imaging; machine learning; artificial intelligence; dose reduction
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identification. Collaborate with bioinformaticians and data scientists to apply artificial intelligence techniques including machine and deep learning for image analysis and predictive modeling. Design and conduct
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for technical quality, collate processed images and sequence of acquisition and label appropriately. Schedule patients for procedures; assist with clerical functions. Charge MR procedures and supplies in EHR Load
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clinical or imaging-based research. Familiarity with vascular imaging software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable. Demonstrates strong
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. Familiarity with vascular imaging software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable. Baylor College of Medicine is an Equal Opportunity