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Field
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conduct and interpret tomorrow’s fusion experiments? Do you have a background in plasma physics, computational physics, inverse problems, or tomography? Then this PhD opportunity at the Technical University
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analysis both locally and as part of the CMS computing Grid. The position offers exciting possibilities in the analysis of the new 13.6 TeV collision data towards quantum tomography of top quarks
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: Experience with crystallization processes, soft matter physics, or porous media Familiarity with imaging techniques (optical/electron microscopy, X-ray tomography, or spectroscopy) Experience with cultural
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computational methods for 3D anisotropic Electrical Impedance Tomography. This is a very challenging inverse problem in the intersection of mathematical analysis, geometry and computing that recently has achieved
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clinical Positron Emission Tomography (PET) scanner by using xenon-doped liquid argon (Xe-LAr) as a monolithic scintillating medium read out by cryogenic silicon photomultipliers (SiPMs) with custom digital
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early developmental success. You will establish an integrated workflow that combines cryo-electron tomography (cryo-ET), sub-tomogram averaging and expansion microscopy to map/model key sperm structures
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 1 day ago
(EEG), magnetoencephalography (MEG), positron emission tomography-MRI (PET-MRI), near-infrared spectroscopy, transcranial magnetic stimulation (TMS), and direct current stimulation (tDCS). On top of
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to cutting-edge facilities including High-velocity impact testing, Advanced composite manufacturing labs, X-ray computed tomography and High-performance computing resources for AI model training This project
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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heterogeneity defined by dual energy computed tomography, harmonization of the signal across scanners, and the correlation of regional signals with associated other metrics including presence of inflammation