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image processing and analysis method development. The position builds on the lab's track-record in the field of computational imaging techniques for super-resolution microscopy and image analysis
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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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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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Vacancies Postdoc position on reinforcement learning on real-time image/video processing for medical robot Key takeaways In this role, you will be responsible of developing cutting-edge deep
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myeloma, as well as to understanding immune aging processes, through comprehensive functional, phenotypic, and genetic analyses of large, dedicated patient biobanks. To elevate our research to the next
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Postdoc Development of a Low-Voltage Multi-Beam SEM for High-Throughput Imaging | TU Delft Job description Scanning Electron Microscopy (SEM) plays a central role in today’s nanoscale imaging across
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will join a research team with Dr. Neil Cohn on the PICTREE Project funded by the European Research Council (ERC). A postdoc on this project will study how the brain processes individual and/or sequences
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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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Postdoc will help in the development and testing of the audit tool, working closely with an international team from the VALUE4FARM project. The Postdoc will combine theoretical knowledge with qualitative
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Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided