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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 17 days ago
Engineering, Computer Science, or Bioengineering. Knowledge of image processing and image analysis, preferably applied to medical imaging (e.g., segmentation, feature extraction, geometric reconstruction
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zu Berlin contributes to the development of NOMAD, the world’s largest data repository for materials science. Within SolMates, the team builds on its experience in integrating image segmentation and
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TypePermanentWorking TypeOn siteAvailable for SecondmentNoClosing Date27-Apr-2026JD_Param11YesJD_Param12Yes The Division of Biosciences at UCL is one of the world's foremost centres for research and teaching in
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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Is the Job related to staff position within a Research Infrastructure? No Offer Description You are keen on contributing to new advances in deep learning methodology for imaging for monitoring marine
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Research (OCMR). The OCMR is a world-renowned centre for cardiac MRI research and is part of the Division of Cardiovascular Medicine at the University of Oxford. The OCMR provides a vibrant and dynamic
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learning or deep learning to microscopy or tomographic imaging, including segmentation and quantitative analysis. Hands-on experience with refractive-index tomography, optical diffraction tomography
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vibrational spectroscopy and imaging methods to improve identification of irregularly shaped particles less than 10 µm. U.S. Citizen Preferred Key responsibilities will include but are not limited
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SPMS is a School under NTU College of Science. Our School is organized into two divisions: the Division of Mathematical Sciences and the Division of Physics and Applied Physics. We are home to
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contribute to the excellence of our academic community. The Division of Nuclear Medicine and Molecular Imaging of Emory University has openings for a 1-year PET combined clinical-research fellowship starting