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AI-based Digital Pathology (AiDP) Programme. The programme focuses on the development and validation of advanced AI methodologies, including image processing, computer vision, and mathematical
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areas include: Oral and maxillofacial radiology, including CBCT and advanced 3D imaging Intraoperative 3D imaging and image-guided workflows 3D scanning and digital data acquisition Segmentation and
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. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets
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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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characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction
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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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candidate holding a master’s degree or a diploma in electrical engineering, geomatics engineering, geophysics, physics or a related field with a background in digital signal processing and/or image
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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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biomaterials. The candidate will receive interdisciplinary training in biomaterials research, advanced imaging, quantitative image analysis, data processing and machine-learning-based modelling. More about
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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