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, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging
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and research, in and outside academia. You will be joining the Colourlab , an exciting research environment for colour and spectral imaging, at NTNU in Gjøvik, Norway. You will also be a member of the
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15th April 2026 Languages English English English We are looking for PhD Candidate in Spectral Imaging Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a
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memories and how these processes are influenced by addictive substances. You will use state-of-the-art in vivo two-photon imaging and electrophysiology to record neuronal activity in rodents performing
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of optical diagnostics, such as: Near and far field high-speed microscopic imaging. Chemiluminescence-based techniques. Schlieren imaging and shadowgraphy. These tools will be used to obtain high-resolution
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. Experience with programming (for example Python/Matlab) and image analysis is highly recommended. Please share your GitHub code repository if you have one. In assessing the applications, special emphasis will
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spatial structures, physical laws, high-dimensional imaging, and clinical covariates. Apply these methods to spatial transcriptomics and fluorescence imaging data to gain a more precise understanding of
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experience in marine and polar environments. Experience with image analysis and molecular techniques, as well as taxonomic knowledge of Arctic zooplankton. A record of peer-reviewed publications will be taken
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advanced phenotyping, imaging technologies, AI-based analyses, and digital twins. The PhD candidate will work on spring wheat genotypes adapted to Norwegian and northern European growing conditions
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. The PhD candidates will focus on developing methods that utilize remote sensing and AI supporting precision forestry. Remotely sensed data, such as images, lidar, and photogrammetric point clouds acquired