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15 Jul 2026 Job Information Organisation/Company Università degli Studi di Trento Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 24 Aug 2026 - 16:00...
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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time, a second research direction will address the application of innovative sensors in various domains, including industrial environments, for the monitoring of equipment and processes, enabling more
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) to develop new approaches for 1) advanced acquisition routines for STEM, 2) imaging of beam sensitive materials, including 2D materials, 3) analysis of materials for optoelectronics, such as semiconductor
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analytical methods for modeling and simulation in the Urban Digital Twin; second, assessing the validation of the proposed framework on real-world scenarios concerning the adoption of Digital Twin by Italian
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to address key experimental and computational challenges currently limiting the clinical translation of spatial biology. By integrating multi-omics approaches, enabling the transition from 2D to 3D tissue
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within an international research network are essential. The research project should result in a PhD thesis. Education Level Master Degree or equivalent - Applicants should hold a second-cycle academic