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Field
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data analysis, statistical modelling, machine learning, life-cycle cost analysis, risk analysis or operations research The appointment is to be made in accordance with NTNUs guidelines for recruitment
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, through course information or thesis deliverables in the application Skilled in either computational modelling or experimentation, paired with the willingness to work on both Personal characteristics
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during the selection process: Good understanding of Software Engineering or Systems Engineering fundamentals Experience with modeling of software and/or system architecture Experience with agentic
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authenticity of visual media and provide understandable evidence for model decisions. The candidate will investigate how general-purpose pretrained visual and multimodal representations can be adapted
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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
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the field, model development, remote sensing analyses, analyses of timber production, economic and policy data and documents, development of forestry cost functions, or surveys of forest owners. The project
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laboratories. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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doctoral programme in Technology within three months of starting in the position. (https://www.usn.no/english/research/postgraduate-studies-phd/our-phd-programmes/technology/). The doctoral programme
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. The research may involve a combination of commercial process simulation tools and in-house model development for individual unit operations and integrated systems. Hybrid modeling approaches combining first
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, including situations where some modalities are incomplete or unavailable. Exploring foundation-model and self-supervised learning approaches for extracting transferable representations from large-scale forest