-
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
-
microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties
-
. 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
-
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
-
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
-
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
-
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
-
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
-
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
-
hands-on and system-oriented; a closed-loop, verifiable prototype will be built, tested under realistic degradations and examined for different metrics such as latency, reliability, fairness and SLA