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14th May 2025 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Artificial intelligence guided materials discovery and
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employment. Required selection criteria You must have a professionally relevant background in Artificial Intelligence, Machine Learning, and Generative AI. Your education must correspond to a five-year
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potential for innovation in the cross section between hydraulic modelling and use of artificial intelligence. This potential will be investigated in this PhD study. The work will be carried out in close
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profiles by various forming processes. Age-hardenable aluminium alloys are reinforced by nano-sized precipitates that form during artificial aging to achieve peak strength. However, precipitate-free zones
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centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial intelligence capabilities. By introducing a Digital
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based on signal processing and artificial intelligence. 5-D is part of an innovative, active, and multidisciplinary research group: The Centre for Elderly and Nursing Home Medicine (SEFAS), which has
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outside academia. This PhD position focuses on the intersection of structural engineering, artificial intelligence, and computational design. The project aims to advance the autonomous generation
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for offshore wind at Norwegian yards: Efficient operations through digital twins and artificial intelligence”. The candidate will be part of the Production Management research group at NTNU’s Department
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leverage artificial intelligence (AI) and advanced data analytics to support rapid, automated decision-making—a need that is currently unmet in the industry. Are you motivated to take a step towards a
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the diverse and frequent data provide great opportunities, the complexity that comes with diverse and big data present methodological challenges in harnessing those opportunities. Likewise artificial