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related algebraic and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive
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drilling optimization, as described in the project outline. Develop and apply numerical, analytical, and data‑driven models for drillability prediction, real‑time parameter optimization, and integration
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23 Feb 2026 Job Information Organisation/Company Norwegian University of Life Sciences (NMBU) Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions PhD
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drilling, drilling technology, thermomechanical processes, and AI‑driven drilling optimization, as described in the project outline. Develop and apply numerical, analytical, and data‑driven models
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curriculum that integrates economics, epidemiology, public health, and data science. HEPARD graduates obtain a strong international research network. • Tailored and Flexible Curriculum: HEPARD’s training is
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the