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, preferably in Python, and an interest in computer vision, image processing, or machine learning Experience with cameras or microscopy, motion systems, PyTorch/TensorFlow, GUI development, or test-bench
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CAD, optomechatronic system integration, repeatable image acquisition, and computer-vision-based image analysis. Job description Develop the existing functional prototype into a robust, user-friendly
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using modern image analysis, statistical, computer vision, and machine learning approache The successful candidate will support image data management, maintain analysis software and repositories
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, you have experience with Python, computer vision, image processing , or machine learning. Experience with PyTorch, image embeddings, vision-language models, OpenCV, or vector similarity search is a plus
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using modern image analysis, statistical, computer vision, and machine learning approache The successful candidate will support image data management, maintain analysis software and repositories
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using modern image analysis, statistical, computer vision, and machine learning approache The successful candidate will support image data management, maintain analysis software and repositories
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: Ongoing master's studies at TU Wien in the field of Geodesy and Geoinformation, Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar Good knowledge in computer vision
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performance (speed, resolution), robustness and flexibility . We cover the whole data processing chain - from image capture, image processing/computer vision to image content analysis - using both traditional
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, smart multi-camera networks, computer vision, sensor fusion, and (medical) imaging. This project is in close collaboration with the Radiation Physics research group at the Center for X-ray Tomography
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learn data processing routines, requirements, and challenges and develop cloud-based solutions to improve efficiency (GCP) Computer Vision & Robotics Development (40%) Train and deploy computer vision