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- University of Oslo
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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image-based siRNA screens, we have identified novel regulators of ER-phagy. This project aims to investigate the molecular mechanisms of ER-phagy and how this contributes to cancer progression
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, and regenerative constructs. The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal microscopy and SEM, with computational image analysis, computer vision and machine
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. The project is an interdisciplinary collaboration between the MRI Physics Group and the X-ray Physics Group at the Department of Physics. In the MRI Physics Group, we aim to improve image quality in medical
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18th October 2026 Languages English English English The Department of Physics has a vacancy for a PhD Candidate in AI-assisted medical imaging with MRI Apply for this job See advertisement Are you
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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/exosomes. Advanced cell culture, molecular biology and imaging approaches will be combined to study cellular responses and mechanisms relevant to oral disease and regenerative medicine. The overall aim is to
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of the solar corona from Solar Orbiter and the Solar Dynamics Observatory (SDO). The candidate will work on the analysis of fine-scale structure in the corona using Solar Orbiter/EUI imaging and SPICE
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Oral Tribology to 4D Micro-CT Failure Analysis”. The laboratory-based project combines dental biomaterials, development of wear-testing methods, mechanical characterisation and advanced X-ray imaging
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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