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of biological origin, as well as of metals and alloys. We are actively developing and applying various X-ray and neutron scattering, diffraction and imaging methods working closely together with various beamlines
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, including samples of biological origin, as well as of metals and alloys. We are actively developing and applying various X-ray and neutron scattering, diffraction and imaging methods working closely together
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 8 hours ago
-fast phenomena, X-ray physics and dynamical imaging in all areas of science, covering physics, chemistry and biology. 23 interdisciplinary PhD positions in Ultrafast Science and Quantum Materials – IMPRS
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by other advanced imaging techniques such as NMR and X-ray Computed Tomography (XCT). The dynamics of spreading of chemical products at different conditions in different porous materials using
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
of Bath and the soft X-ray imaging beamline, I08 SXM, at Diamond Light Source, giving you hands-on experience in material synthesis, carbon capture testing, and spatially-resolved X-ray imaging. Together
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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation
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of coronary anatomy from 2D X-ray angiography; develop physics-informed neural networks and graph-based neural operators for fast estimation of 3D coronary hemodynamics (velocity, pressure, and wall shear
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vacant 100% PhD position in the MRI Physics Group at the Department of Physics, NTNU. The project is an interdisciplinary collaboration between the MRI Physics Group and the X-ray Physics Group
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tissues or reveal micro- or nano-structural features, like the small air sacs in lungs. To overcome these limitations, alternative X-ray imaging methods have been developed: X-ray phase-contrast and dark
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goal of your PhD project will be to develop combined X-ray and visible-light imaging technologies and machine learning methods for high-throughput inspection tasks. The work will include the development