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Field
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with strong computational skills in computer vision, deep learning, image processing, and scientific programming. The successful candidate will work primarily on computational pathology and multimodal
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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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trajectories using repeat imaging. The successful candidate will therefore be working primarily as an AI/image-processing researcher, developing deep-learning models for medical images. Job description The
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Experience in protein handling and labeling Experience in image analysis and processing Special Instructions Please submit an updated CV, cover letter, and a statement of research, as well as up to three
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands-on
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, image reconstruction, or physics-informed machine learning. Image registration, motion estimation, or deformable modeling. Image processing, image analysis, or tomographic reconstruction. Knowledge of X
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analysis of selected materials. If 4D tomography or digital volume correlation is limited by access or image quality, repeated ex situ micro-CT during interrupted loading is the predefined fallback. The
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including