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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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Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
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or focus groups you are comfortable, and ideally have experience, with engaging stakeholders, experience with scenario methods is an asset excellent writing skills and a track-record of peer-reviewed
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Research, Health Technology Assessment, Science and Technology Studies, or a closely related field You have a strong research track record, demonstrated through publications, design projects, or equivalent
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applying and developing deep learning models (e.g. CNNs, ViTs, or geometric deep learning) Proficiency in Python and PyTorch Motivation to work with interdisciplinary clinical partners A track record of