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Field
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26 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department The Department of Circulation and Imaging Research Field Medical sciences Researcher
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computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy
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imaging (crucial) Experience with image segmentation, deep learning, or computer vision. Experience with 3D image processing or inverse problems. Experience with experimental research and data acquisition
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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background in engineering or computational sciences, with a keen interest in medical imaging, translational vision research, and healthcare innovation. They will join a dynamic supervisory team with strong
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, segmentation, and metric-semantic mapping - Develop and evaluate machine learning-based image segmentation methods for robust perception in extreme environments; - Contribute to metric-semantic mapping
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing
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11th October 2026 Languages English English English The Department of Circulation and Medical Imaging has a vacancy for a PhD Candidate in Exercise and Brain Health – The MolEx Studies PhD Candidate
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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close