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terrestrial or flying vehicles and robots Expertise State estimation of floating base robots Relevant background on environment reconstruction, semantic segmentation and classification Expertise on obstacle
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21 Sep 2025 Job Information Organisation/Company University of Trento Research Field Computer science » Computer architecture Researcher Profile Recognised Researcher (R2) Country Italy Application
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for the enhancement of tangible and intangible cultural heritage; computer graphics. The candidate must also demonstrate experience in the design and production of interactive and multimedia digital content
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to establish R&D Laboratories in areas such as, among others, Reasoning & Planning, Edge Intelligence, Advanced Computer Vision, Synthetic Data, Human Machine Interfaces, and Controls (cf. below). Our R&D Labs
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for the realistic simulation of space images. The work lies at the intersection of computer graphics, space engineering, and autonomous GNC systems, addressing the image rendering needs for lunar landing, in-orbit
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he will assess different finite element schemes for the accurate and efficient solution to the estimation problem. The candidate will also explore numerical/statistical approaches for the uncertainty
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the state of the art on differentiable physics simulators, ii) development of a differentiable physics simulator capable of handling collisions, iii) evaluation of the simulator for the estimation
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study on camera pose estimation using deep learning-based methods, ii) identification of scenarios to be used as case studies, iii) data collection and construction of 3D models of the involved scenes, iv
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | 22 days ago
at the timely recognition of errors and anomalies. In particular, a computer vision system based on a network of cameras will be developed for the real-time 3D reconstruction and understanding under
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research, personalized medicine, and computer-assisted pathology. The candidate will lead the efforts related to the development of statistical models for the spatial analysis of transcripts and cells. Where