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should have a strong background in quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of
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., Claude Code) Strong mathematical foundation relevant to quantitative image analysis (optimization, regression, statistics, signal processing, cluster analysis, machine learning) Advanced skills in
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multiaxial mechanical tests on the dual-actuator loading frame, and acquiring and processing full-field deformation data using three-dimensional digital image correlation Develop the numerical platform
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: Preclinical MRI MRI pulse sequence development and optimization Quantitative MRI analysis Image reconstruction and image processing using Bruker Paravision Micro-CT, optical imaging, photoacoustic imaging, PET
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, and acquiring and processing full-field deformation data using three-dimensional digital image correlation Develop the numerical platform by building automated finite element and inverse
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Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and research MRI
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Develop event-driven algorithms and software components for autonomous experiment control and adaptive image acquisition Build scalable, maintainable, and open-source software for high-throughput image
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. To be successful in this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science
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The Ragon Institute of MGH, MIT, and Harvard | Cambridge, Massachusetts | United States | about 1 month ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including