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, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor segmentation, enabling
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interpretation is subjective, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor
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electronics or power devices? We are seeking a highly motivated postdoctoral fellow to join our research team in an ambitious 2-year project. You’ll be part of an excellent team at the Electromechanics and
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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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walls for construction? Do you want to understand how fungi and their mycelial networks adapt to various environmental conditions? Then you might be the postdoctoral researcher we are looking for! As a
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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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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you an enthusiastic and driven postdoctoral researcher with a passion for malaria research
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applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques
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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