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problem not only faced by industry (e.g., steel, catalysts, metal structures) but also by academia and public services (e.g., archives, museums). The broader question that this project addresses is how we
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26 Jan 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Informatics Computer science » Programming Medical sciences » Medicine
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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processing; experience with array processing or inverse problems is beneficial. Proficiency in programming languages such as C, C++, Python, or Julia/Matlab is advantageous. Background in computational