11 ott - Bardi
Italian Ministry of Education, University and Research
Dipartimento Ingegneria Chimica Materiali Contesto invites applications for a research fellow to develop spectral libraries and chemometric procedures in Python for processing drone-acquired hyperspectral data, aiming at identifying asbestos-containing materials (ACM).
The role covers field-to-laboratory validation, asbestos fiber quantification, thematic map generation, and GIS integration, requiring expertise in hyperspectral imaging, chemometrics, and remote sensing, with proficiency in ENVI
12 ott - Casoria
MACOS
12 ott - Lucca
DOUGLAS ITALIA
12 ott - Monastir
Moltiply Group
12 ott - Catanzaro
Toscano