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projector in image reconstruction. Dual-energy imaging will be explored for quantitative determination of electron density (ρₑ) and effective atomic number (Zeff), for the inference of WAC-relevant indicators
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an existing system based on artificial intelligence and high-speed imaging. The idea is to bring the system to the clinic and to create a new generation of intelligent safety systems for radiotherapy. The goal
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preclinical data, advanced imaging from PET and SPECT scans, and Monte Carlo-based absorbed dose calculations, the project will contribute to more accurate dose–response assessments and inform future strategies
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techniques (e.g., cell culture, Western Blotting, PCR/qPCR, cloning, and recombinant protein expression/purification). Experience with fluorescence microscopy (e.g., confocal, live-cell imaging) or image
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-cell imaging) or image analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g
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techniques (e.g., cell culture, Western Blotting, PCR/qPCR, cloning, and recombinant protein expression/purification). Experience with fluorescence microscopy (e.g., confocal, live-cell imaging) or image
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the research groups active at the KU Leuven Ghent Campus. This funding call is open to all EU and International applicants. Keywords: Digital Image Correlation, Experimental and Computational Mechanics
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are looking for a motivated PhD student to investigate brassinosteroid transport mechanisms by combining live-cell imaging, phosphoproteomics, and CRISPR-based screens. Profile Essential Master's degree in
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. You will carry out a limited number of teaching and research support tasks for courses related to cyber-physical systems and applied image/data processing. Profile You hold a Master degree in Computer
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and applied image/data processing. Profile You hold a Master degree in Computer Science, Electronics Engineering or you will have obtained it by the time you start work. You can demonstrate good study