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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
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focuses on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally
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learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector CT with work in collaboration
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experience with MRI acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with
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Position Overview: We are seeking a highly-motivated postdoctoral scholar to contribute to the development and clinical translation of advanced MRI methods for womens imaging. The ideal candidate will have a
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well as an appropriate multidisciplinary PhD Must-have background: · Strong experience in X-ray imaging, tomography or closely related 3D X-ray methods. · Experience with reconstruction, scientific coding and
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funding. You will be responsible for the development of novel acquisition, reconstruction, image analysis and/or modelling methods for cerebrovascular magnetic resonance imaging (MRI) to improve
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | about 17 hours ago
. Demonstrated interest in animal research, particularly rodent models (experience with mouse handling or physiology is an advantage). Experience with MRI data processing, image reconstruction, pipeline
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| Radiology Position Overview: We are seeking a highly-motivated postdoctoral scholar to contribute to the development and clinical translation of advanced MRI methods for women’s imaging. The ideal candidate
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lead the image processing and computational analysis efforts, developing robust methods to register, segment, and analyse spectral micro-CT data, and — where relevant — advance reconstruction and