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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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(analysis/ geometry), applieddifferential geometry and machine learning;•Solid publication record in image analysis, scientific computing or machine learning.•Knowledge and practical experience in at least 3
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& Computer Science of the Eindhoven University of Technology in the field of “Geometric Learning for Image Analysis”.The two year postdoc position is part of VICI Project (VI.C. 202-031, PI: R.Duits) and will
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in every aspect of breast cancer image interpretation in screening, including AI, image analysis, image display, and workflow. Tasks will consist of setting up and aiding in the execution of a
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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screening, and screening workflow. Finally, we will work closely with industrial partners that are involved in every aspect of breast cancer image interpretation in screening, including AI, image analysis
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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must have extensive expertise in deep learning for medical image analysis. We welcome applications that only partially qualify these requirements but make sure you argue why you are suitable
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coursework and GitHub repositories. Postdoctoral candidates must have extensive expertise in deep learning for medical image analysis. We welcome applications that only partially qualify these requirements but
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research projects with high-level technical expertise. Exploring AI-based methods for imaging analysis and dose verification (depending on your experience). What you will do As a postdoctoral researcher, you