Job Description: At Airbus UpNext , we fly future technologies at speeds well beyond what seems feasible today. Were looking for passionate individuals to join a new demonstrator project that is shaping the future of sustainable
JINGDONG Logistics (JD Logistics) is the logistics arm of and one of the worlds leading technology-driven supply chain solutions providers. Leveraging advanced expertise in automation, intelligent logistics, and data-driven operations, we deliver end-to-end logistics solutions that help
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
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
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