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tasks will be to: Develop computer vision, image processing and deep learning methods for damage detection of wind turbine blades considering varying conditions such as sunlight, temperature, wind, etc
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for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210
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for the globally expanding healthcare sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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combines omics technologies with bioinformatics, and functional validation of candidates by biochemical, cell biology, and imaging methods (see for instance, Smith, Ferguson et al., EMBO J., 2021; Watson