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in the weak holographic regime, bridging the gap between micro- and nano-tomography. While propagation-based phase-contrast imaging enhances visualization of soft tissues and weakly attenuating samples
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employment. Starting date: 09.04.2026 Job description:PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 987 - 2026/WP 1 Work location: Hamburg Application deadline
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026
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and transverse motion of quarks and gluons. This information is captured by Transverse Momentum Dependent (TMD) parton distribution functions. While parton tomography is essential for understanding how
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based on seismic noise correlations, particularly for applications to crustal and upper mantle tomography in various regions of the world, notably in the Alps (e.g., Nouibat et al., 2022, 2023
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About the project: Seeing Magnetism in 3D: Ptychographic Electron Tomography of Nanostructured Spin Textures Supervisor: Dr Peng Wang, University of Warwick Magnetic skyrmions are tiny whirlpools
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-ray Computed Tomography (XCT) has evolved into a significant "big data" challenge, with a single scanner easily generating over 10TB of data annually. The sheer volume of this structured data creates
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per year Eligibility: UK Citizen Start Date: 02/10/2026 (3-year funding period) Research Group – CiMAT Project Overview X-ray Computed Tomography (XCT) is a critical non-destructive imaging tool used in
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My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography
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spatial and temporal dimensions Quantitative functional lung imaging using near field X-ray speckle Ultra-low dose Computed Tomography for lung, brain or breast imaging. Dark field X-ray imaging Translating