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longitudinal, personalised fracture-risk trajectories using repeat imaging. The successful candidate will therefore be working primarily as an AI/image-processing researcher, developing deep-learning models
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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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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A multimodal system for the automated and integrated processing of
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cooperatively with others Knowledge of word processing and spreadsheet applications including Microsoft office and Google Suite Strong verbal and written communication skills Responsibilities
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cooperatively with others Knowledge of word processing and spreadsheet applications including Microsoft office and Google Suite Strong verbal and written communication skills Responsibilities
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | 10 days ago
research imaging data preprocessing, image processing, implement data cleaning, train research team on image analysis using Python, FSL , SPM , Freesurfer, and other platforms. The incumbent will further
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Sciences / David Geffen School Of Medicine / UCLA Position overview Position title: Abdominal Imaging Fellow/Health Sciences Clinical Instructor Salary range: The posted UC salary scales ( https
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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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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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Information Eligibility criteria - Active Galactic Nuclei (AGN) - Long-baseline optical interferometry and data processing - Model fitting and/or image reconstruction in astrophysics - Machine learning