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physics, materials science, computer science or a related discipline background in one or more of the following areas is desired: X-ray or electron imaging techniques, and image processing proficiency in
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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 6 hours ago
using functional MRI or ultrasound imaging. The Max Planck Institute for Biological Cybernetics conducts research that elucidates neurological processes across various organizational scales via
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phenomena such as velocity and homogeneity in hierarchically porous Si?based materials conduct multiscale imaging using MHz X?ray projection imaging, X?ray micro- and nano-computed tomography, and scanning
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 15 days ago
framework, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial # Experience in working with medical imaging data, especially with
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17.11.2025, Wissenschaftliches Personal The Chair of Computing in Civil and Building Engineering (CCBE) at Technical University Munich invites applications for the position of a Research Assistant
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German
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imaging method at synchrotron radiation facilities, particularly PETRA III at DESY. Samples, be they biological or from materials science, often have a hierarchical structure that determines their function
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"Multiscale imaging of organ-specific inflammation" (https://www.uni-muenster.de/CRC-inSight/research/area-A/A05.php ). Within this Centre, we are working together with Computer Science and Applied Mathematics
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling