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professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The following mathematical disciplines
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to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the development of innovative
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 months ago
5 Nov 2025 Job Information Organisation/Company Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy Research Field Computer science » Modelling tools
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and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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resonant acoustic mixing (RAM) – a relatively novel processing methodology which is of increasing industrial interest spanning multiple sectors. The project will allow the candidate to explore a number of
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engineering innovation by developing wildlife tracking technologies, including integrating advanced AI-based analytics to create a novel prototype for conflict mitigation. The work will involve developing a
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are the first steps in development of endothelial damage, systematic analysis in pediatric population is not available up to date. You will apply innovative molecular and imaging methods to study the underlying
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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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balance, and outgassing testing, essential for qualifying hardware for launch and orbital operation. The Space Lab also offers access to a wide suite of engineering and simulation software for electronics
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into the generation process. This multidisciplinary project will deliver deployable models, reproducible methods, and, where allowed, shareable datasets. The student will gain training in deep learning, AI, image