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at the Very Large Telescope in Chile to test the algorithm with the SPHERE+ instrument. Activités The PhD will employ a combination of simulation and experimental validation: • Imaging processing and control
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humanities. We combine terahertz, ultrasound, infrared thermography, hyperspectral/multispectral, and X-ray imaging with multimodal data fusion, interactive visualisation, and digital twins. Results
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. Activités The PhD will employ a combination of simulation, optical engineering, and experimental validation: • Imaging processing and control algorithms: Use and develop existing coronagraphic simulation
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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understood. The PhD candidate will develop theoretical and data analysis method to interpret single-cell data from endothelial tissues and to produce a working model of how phenotypical changes occur over long
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several universities and industrial partners, the research will focus on developing new catalytic materials and processes for the synthesis of sustainable fuels from CO and CO2 via the Fischer-Tropsch
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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data
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activity on in-situ and operando study by coupled techniques: Electrochemistry/Raman, Electrochemistry/NMR, Electrochemistry/X-ray diffusion, imaging and spectroscopy. The MIEL team is consisting of 19