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will be carried out on a nuclear reactor simulator, with the possibility of validating results on a physical non-nuclear test system. You will design control algorithms that handle the full range
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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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. Design explanation methods that connect predictions to meaningful spatial, temporal, frequency-domain, semantic, or example-based evidence. Evaluate robustness and transfer to unseen datasets, content
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the Hardware Reverse Engineering Laboratory (HRE Lab) at NTNU, together with its hardware analysis and reverse-engineering capabilities. The candidate will design and conduct controlled experiments
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of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages). Possibly publications etc. other relevant research work. Possibly
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. 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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for Multiscale Offshore Structures), which develops integrated AI methods for the analysis, design, monitoring, and control of floating offshore systems. Multi-modular floating structures are emerging as a
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits
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Electronic System Design 4.6/5.0 Signal Processing for Anomaly Detection CV including information about education background and work experience Transcripts and diplomas for Bachelor's and Master's degrees
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and synthetic biology will be combined with AI-supported design of promoters, 5′ untranslated regions and other regulatory elements. The resulting data will be used to establish more predictable design