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Ph.D degree in electrical engineering, computer engineering, computer science, or a related discipline Demonstrated experience developing, training, and applying AI algorithms to physical sensor data
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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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Research Framework Programme? Horizon Europe - ERC Reference Number 101166983 Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based
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Vision We are seeking a PhD student that is motivated to explore innovative, sustainable approaches to biomass processing and help redefine how high‑value products are recovered from UK seaweeds and other
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
of material deposited, while maintaining the expected accuracy. Part of the activity will also involve implementing Artificial Intelligence (AI) methods similar to computer vision to facilitate this prediction
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to the faculty's PhD Programme in Artistic Research in Film and Related Audiovisual Arts. The final plan for the artistic PhD project must be approved and formalised no later than three months after the start of
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of Economics. Duties of the position You will be admitted to the PhD programme at the Faculty of Economics and Management . The main goals are competence building and research training. Your tasks as a PhD
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You must meet the requirements for admission to the faculty's Doctoral Programme Software skills in 2D/3D technical drawing Strong theoretical background in fluid mechanics, mathematics and physics
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for a PhD education. You must meet the requirements for admission to the Faculty of Natural Sciences Doctoral Program . You must demonstrate excellent oral and written presentation skills in English
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, disability, LGBTQ+ identities, family and caring responsibilities, age, or religion. We encourage everyone who shares these values to apply. About the organisation The Faculty of Geo-Information Science and