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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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approaches, such as longitudinal survey research, (automated) content analysis, and experiments. You will work closely with the PI, members of the Strategic Communication group, and another PhD student who is
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biting behavior analysis using our recently developed biteOscope platform. These experiments will be conducted both at Radboudumc and in the field, in close collaboration with an experienced research team
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part of experimental research. Experience with quantitative/qualitative methods (statistical methods and interview analysis). Experience as audiovisual translator is a distinct advantage. Knowledge of
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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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and proven affinity with sustainability and teaching will also be considered. Experience with prospective life cycle assessment and/or material flow analysis/dynamics stock flow modelling. Basic
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work will be on reliability analysis and diagnostics of medium-voltage SiC MOSFETs, including the development of advanced test platforms for device and packaging evaluation. Key responsibilities include
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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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interview analysis). - Experience as audiovisual translator is a distinct advantage. - Knowledge of Dutch and Spanish is an advantage. Other language combinations can be considered for the post. - Experience
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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