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of: Perform advanced microstructural and topological analysis of natural fibres using 3D imaging and image‑processing tools. Design and refine routes to isolate and tailor lignin fractions derived from
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hardware-aware and hardware–software co-design methods for edge intelligence. The goal is to develop new techniques that improve the efficiency, performance, and deployability of deep learning models
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systems. At NTNU, the research will investigate hardware-aware and hardware–software co-design methods for edge intelligence. The goal is to develop new techniques that improve the efficiency, performance
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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Group (BT) offer a PhD opportunity at the intersection of acoustics and PV systems. This position explores how to integrate PV technologies into acoustic design and investigates acoustic behaviour
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implementation of complex coding schemes (e.g., participation & belonging, inclusion, recognition, justice) in NLP pipelines: from guidelines/definitions to label formats to model and evaluation design. Setting up
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alloys, which are required for demanding engineering applications. The student will contribute to the design, modelling, and development of a high-temperature crucible and droplet ejection system, capable
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: The workplan is focused on the design of the DES able to meet three main requirements: i) be compatible with lignin and bitumen; ii) have antioxidant properties; iii) act as a thermal stabilizer of
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Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a
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7th April 2026 Languages English English English The Department of Design has a vacancy for a PhD Candidate in Visualisation of AI Advice for Safety-Critical Maritime Decision Support Apply