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to analytical applications of design standards) is highly valued, as is a proactive commitment to mastering these tools. An interest in computer vision, visual computing, 3D visualization, or related domains
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tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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, voids, delamination, corrosion, and internal structural discontinuities. The PhD candidate will investigate Vision Language Models (VLMs), Multi-modal AI solutions, and 3D scene reasoning approaches
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, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
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Deadline 23 Jan 2027 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Participate in the research group “Engineering Geology and Rock Mechanics” and FME RenewHydro (https://www.ntnu.edu/renewhydro ) Participate in international activities such as conferences Contribution in
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» Industrial engineering Technology » Information technology Computer science » Programming Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 22 Mar 2026 - 23:59 (Europe
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based