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2 Dec 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Engineering Cybernetics Research Field Computer science » Cybernetics
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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, visions and concerns in innovation. Entry requirements The standard minimum entry requirement is 2:1 in Geography, Sociology, Political Science, Anthropology, Design, Architecture, Engineering, Computer
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in AI. Previous publication record in relevant fields: AI, machine learning, computer vision, etc. Previous successful project on a relevant topic. Good knowledge of statistics, probability
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a relevant case study: the history of the Indonesian programme of the Dutch international broadcaster Radio Netherlands Wereldomroep (1945-1965). The project’s preliminary outcomes will be discussed
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computer science with excellent performance? You are a highly skilled Java programmer? You have good knowledge in programming with scripting languages? You have a strong background in distributed systems, Edge
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research frontier in computer vision that combines three critical challenges: class imbalance, recognition of rare and unseen species, and dense labelling of high-resolution imagery. The candidate will
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interview You must meet the requirements for admission to the faculty's Doctoral Programme PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application
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(UTC) 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 within a Research
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computer-controlled techniques. Through practical experiments, the doctoral student will push the boundaries of these materials, uncovering new design expressions while deepening the understanding