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25 Aug 2025 Job Information Organisation/Company Institute of Nuclear Physics Polish Academy of Sciences Department Department of Magnetic Resonance Imaging /NZ56/ Research Field Physics Researcher
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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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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
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, segmentation of ultrasound images, identification of intraplaque hemorrhage on MRIs, post-processing by ultrasound spectroscopy and imaging by ultrasound localization. You will join a dynamic team specialized in
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 21 days ago
with expertise in medical image processing—particularly registration and segmentation—and proven experience in deep learning, with a focus on ultrasound imaging. Prostate cancer diagnosis relies
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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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to the exploitation/development of tomography, 3D/4D image analysis techniques or material characterisation and will be developed in collaboration with researchers at the division and MAXIV. The duties will also
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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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settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on obtaining external funding and project
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in relevant research fields Desirable criteria Multi-modal image analysis expertise Real-time detection and segmentation methods for clinical applications Surgical video analysis, e.g. workflow