18 ott - Leivi
Italian Ministry of Education, University and Research
Dipartimento Ingegneria Chimica Materiali Atmosfera 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
J-18808-Ljbffr
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Edison
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Agm Solutions
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Vertiv Holdings