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- NTNU Norwegian University of Science and Technology
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- NTNU - Norwegian University of Science and Technology
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The Language Technology Group (LTG) at the UiO Department of Informatics (IFI) is an inter-nationally
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
development of the FAST Virtual Lab, a digital framework combining experimental data, physics-based models, and data-driven methods to support design, manufacturing, and decision-making across aluminium value
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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solutions. The Department of Ocean Operations and Civil Engineering is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/297161/phd
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, physics-based models, and data-driven methods to support design, manufacturing, and decision-making across aluminium value chains. Education and competence building are central pillars of FAST. The centre
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application process here. About the position The Department of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud
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of Artificial Intelligence (AI), and therefore a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models and
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and increased uncertainty in life and non-life insurance modelling. data-driven prediction of insurance premiums and associated quantification of uncertainty. Qualifications and personal qualities
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activities will be oriented at developing hybrid data-driven/model-based AI methods to analyse time series of clinical data coming from sensors, enriched by the possible trajectories of relevant human patho
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knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient