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. You will set the agenda in optical imaging for health technology and contribute to flagship initiatives that improve patient outcomes through prediction, prevention, early diagnosis, and treatment
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, physics, computer science, applied mathematics, or similar Required competences Strong background in image processing and analysis, especially Deformable image registration and 3D segmentation methods
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programme in optical imaging for health technology, exploring emerging and enabling technologies and their potential applications in healthcare. This includes integrating novel concepts such as advanced
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, electrical engineering, etc. Prior experience in (1) image processing, particularly for radiographic and computed tomographic data as well as mesh-type data, and (2) machine learning, particularly deep
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for materials science and biotechnology; however, neutron scattering and imaging studies are strongly flux-limited. Our aim is to develop a neutron optics prototype, a so-called nested Wolter condenser
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, as well as integrating imaging outputs with downstream structure determination processes and archiving systems. The role also supports X-ray diffraction data collection, particularly at synchrotron
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cohort building, multi-modal imaging, biobanks, epidemiology, neuropathology, wearables and biotech, experimental disease models including animal and cell models, and basic science programs in alpha
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cohort building, multi-modal imaging, biobanks, epidemiology, neuropathology, wearables and biotech, experimental disease models including animal and cell models, and basic science programs in alpha
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. Workplace Description The Biomedical Engineering Centre at SDU, Odense conducts interdisciplinary research at the interface of biomechanics, medical imaging, robotics, and computational modelling
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Mechanical Engineering (DTU Construct). In this role, you will integrate advanced vision sensor technologies, materials science principles, and computational image processing methodologies to develop a