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: Characterization of realistic inflow environments and their impact on turbine performance Assessment of clearance effects on loads and efficiency near the sea surface and seabed Development and use of multi-fidelity
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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, develop robust defense mechanisms, and build the foundational frameworks for trustworthy AI. This is a unique opportunity to shape the future of AI security while working alongside world-class researchers
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of realistic inflow environments and their impact on turbine performance Assessment of clearance effects on loads and efficiency near the sea surface and seabed Development and use of multi-fidelity models
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of opioid responses over time at the level of each patient is urgently needed to reconcile clinical experiences with the state of scientific evidence. The project offers opportunities to develop unique
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precision far exceeding existing antagonist studies in the field. The project offers opportunities to develop unique competence in behavioral genetics, experimental psychology and psychopharmacology, whilst
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain
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Municipality, and the Norwegian Mapping Authority (Kartverket). Research topics The candidate will investigate and develop state‑of‑the‑art methods for benchmarking and evaluating language models in highly