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programming proficiency in C++ and/or C#, with a solid grasp of OOP, data structures, algorithms, and debugging tools; familiar with medical image processing (vtk and ITK), medical device communication protocol
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Vacancies Postdoc position on deep learning based medical imaging for medical robot Key takeaways In this role, you will help develop and implement cutting-edge AI solutions for real-time, image
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electrophysiology, calcium imaging, optogenetics, animal behavior is preferred, but we are interested in applicants with different backgrounds Background in data analysis, image processing, physics, engineering are
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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical
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degrees in disciplines related to magnetic resonance spectroscopy and imaging in Applied Chemistry, in Life or Medical Sciences. We are committed to equal opportunity recruitments. IMMENSE is dedicated
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laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge on the human visual system
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders
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, computer science (medical image processing), medical physics. Computer skills: Python, C++ (ITK, RTK). Languages: English required, French optional. Website for additional job details https://emploi.cnrs.fr/Offres
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London, with a team of investigators covering AI, computer vision, robotics, and medical imaging. You will join a dynamic and successful team with access to both cutting-edge computer power and advanced
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cognitive, clinical, genetic, and proteomic data and manages them in the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces