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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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23 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Paris-Nord Research Field Computer science Researcher Profile First Stage Researcher (R1) Country
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 163872 Is the Job related to staff position within a Research Infrastructure? No Offer Description Programming of full
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"intrinsically-aligned" artificial intelligence, where accuracy, fairness and explainability are all taken into account when selecting the "best" AI model. Requirements: The essential selection criteria include
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by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large
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Computer Science or equivalent (with a focus on Machine learning, Artificial Intelligence, Learning Technology or alike). Your course of study must correspond to a five-year Norwegian course, where 120
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programme, you work in an interdisciplinary team with researchers from the fields of linguistics, psychology, and artificial intelligence. You receive assistance from student assistants in data collection and
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research-oriented internships in the industry What we ask of you Completed or soon-to-be completed MSc in Computer Security, Computer Science, Artificial Intelligence, Mathematics, Computer Engineering
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, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include: Artificial intelligence to reason about
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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 The proposed work involves developing a real-time water