The Doctoral Candidate will be expected to develop Machine Learning tools that enable automated, objective and efficient identification, classification and quantification (ICQ) and spatial mapping of meso- and macro-scale defects in composite materials, through training on coupled high-resolution
The Doctoral Candidate will be expected to develop Machine Learning tools that enable automated, objective and efficient identification, classification and quantification (ICQ) and spatial mapping of meso- and macro-scale defects in composite materials, through training on coupled high-resolution
FIDAMC seeks a Doctoral Candidate to develop machine learning tools for automated identification, classification, and quantification of defects in composite materials, using high- and low-resolution inspection data. Si desea conocer los requisitos para este puesto, siga leyendo para
We are Bertrandt. An independent, international engineering service provider with decades of expertise. With cross-industry know-how and a comprehensive understanding of systems and products, we create technological solutions across the entire value chain. We focus on
We are Bertrandt. An independent, international engineering service provider with decades of expertise. With cross-industry know-how and a comprehensive understanding of systems and products, we create technological solutions across the entire value chain. We focus on