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will develop models to understand non-equilibrium transport of orbital angular momentum in superconducting hybrid structures. This is part of an effort to determine the merits of superconducting
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of quantum condensed matter physics and has a duration of three years. Your immediate leader will be the Head of Department. Duties of the position The candidate will develop models to understand non
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, including designing, developing and evaluating systems and models to enhance learning through AI technology. A part of this work is also to consider opportunities for innovation related to start-up companies
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models to enhance learning through AI technology. A part of this work is also to consider opportunities for innovation related to start-up companies. The approach followed encapsulates Design-Based
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interested in programming and developing the next generation models for inflow forecasting? Work with us, SINTEF and the Hydropower industry to develop State of the art models for better water management. The
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conduct background checks on potential candidates. Please note that all our candidates may be asked questions necessary in this context. This includes questions about any connections to countries
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models to resolve blade loads and structural responses under both operational and extreme conditions, including scenarios with partial out-of-water exposure Uncertainty quantification to ensure robust and
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Technology » Energy technology Environmental science Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 31 Oct 2025
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of smart technologies to visualize yard operations in a digital form (such as virtual models and digital twins). Smart technologies can collect, analyze, and represent data from various sources
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both water tanks and with phase change material - PCM). Digital twins of the system for real-time decisions, based on petroleum field experience. LCA and economic conciderations. Modeling and reservoir