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Field
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change Support for the development and integration of 3D pose estimation and localization methods in the building sector Creation of synthetic reference datasets and the development of Python scripts
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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want to hear from you! Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant
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. The successful candidate will work in an interdisciplinary team investigating the diffusion of radionuclides (U, Pu, Am) and decay products (Zr) through rock minerals triggered by colloids, as well as methods
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sites and time periods. Use the newly developed tools to estimate key ecosystem and land-surface parameters, and compare the results against existing model–data fusion methods. Apply the improved
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in-house systems employ specialized models and methods. In this role, you will refine and optimize these models, algorithms, and calibration targets, and seamlessly integrate them into our 3D scanning
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10 Dec 2025 Job Information Organisation/Company University of Siegen Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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already been fully automated in house. For object types that cannot be reliably reconstructed with classical image-based methods, such as transparent or highly reflective materials, we leverage state
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international conferences to present your own work, and learn about state-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering
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algorithms to fuse both methods. For example, the fusion may use the coarse 3D model from stereo reconstruction as a starting point for planning high‑resolution laser scans. You will evaluate the results