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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As a PhD Candidate with us, you will help turn early railway
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for general criteria for the position. Preferred selection criteria Familiar with use of real-world data Experience with fieldwork Experience with signal and image processing Personal characteristics
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and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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high-performance computing resources support volumetric image rendering, large-dataset processing, and 3-D visualization at the scale whole-brain microscopy demands. The work is supported by multiple
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institute in materials science and advanced characterization. The candidate will have access to the FastNano Liquid platform, enabling operando monitoring of PISA processes through SAXS and Raman spectroscopy
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project focuses on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High
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. Proficiency in standard molecular and cell biology techniques, including RT-qPCR, ELISA, immunocytochemistry, and Western blotting. Experience with sample preparation, imaging, and image analysis using confocal
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. Enforcing these is hard when the data, the model, and the rules belong to different parties, none of whom can hand over what they hold. Privacy-preserving AI protects data and models but not rules, while
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focused on the development of next-generation compact hyperspectral spectropolarimetric cameras. Hyperspectral imaging enables simultaneous acquisition of spatial and spectral information, supporting
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of the observed phenomena. Advanced image processing techniques will also be applied to analyse low-dose recorded images. Beyond ion irradiation, the project will explore how laser illumination and mechanical