Job Description: An opportunity for a Fuel and Fire Protection Systems Engineer has arisen within Airbus Defence and Space, Getafe (Madrid). The selected candidate will join the Fuel, Inerting and Fire Protection Systems Department. You will
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
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
Experteer Overview ¿Es este el siguiente paso en su carrera? Descubra si es el candidato adecuado leyendo la descripción completa a continuación. In this role you will contribute to the development of Fuel, Inerting and Fire
An opportunity for a Fuel and Fire Protection Systems Engineer has arisen within Airbus Defence and Space, Getafe (Madrid). The selected candidate will join the Fuel, Inerting and Fire Protection Systems Department. You will be part
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
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