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Field
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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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criteria: Research experience Experience and quality of teaching Research vision and potential International impact and experience Societal impact Innovativeness, including commercialization and
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for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks Two or three elements out
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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 university with a
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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 university with a
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25 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Electric Energy Research Field Computer science Researcher Profile First
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degree in marine technology or equivalent. Your course of study must correspond to a five-year Norwegian master program, where 120 credits have been obtained at master's level. Master's students in
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degree in Marine Technology, Mechanical Engineering or equivalent. Your course of study must correspond to a five-year Norwegian master program, where 120 credits have been obtained at master's level
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district-wide universal offer for children and young people’s physical activity in Bradford. The studentship is embedded within Join Us Move Play, Bradford’s Local Delivery Pilot (LDP) programme , funded by
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-critical clinical contexts. Vision Healthcare systems are increasingly adopting algorithmic and AI-driven tools to support clinical decision-making. While these technologies promise improvements in