Drone Hyperspectral Data Scientist for ACM Mapping
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Dipartimento Ingegneria Chimica Materiali Ambiente 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).
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The role covers field-to-laboratory validation, asbestos fiber quantification, thematic map generation, and GIS integration, xysqume requiring expertise in hyperspectral imaging, chemometrics, and remote sensing, with proficiency in ENVI
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Remote, Italia Italian Ministry of Education, University and Research Tempo pienoOrganisation/Company Dipartimento Ingegneria Chimica Materiali Ambiente Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 9 Nov 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not...