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. Pipeline 3: 3D Root Architecture Modelling from microCT Scans Implementation of deep learning-based reconstruction and segmentation pipelines for 3D root system modelling using micro-computed tomography
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. Understanding of embedded programming, computer architecture and digital electronic systems. Experience with low-level bare-metal coding, particularly in C/C++. Understanding of digital electronic systems
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. The main case will be generative AI for architecture visualization, and possibly computer vision for understanding buildings. Candidates for this stipend should have a background in software engineering or
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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through publications, externally funded research projects, networking etc. Finally, the position will contain teaching obligations in relation to teaching programs related to the architecture study program
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with