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floating laboratories in the project. The research will involve processing and analyzing large volumes of operational data from onboard systems, including propulsion, navigation, environmental sensors, and
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floating laboratories in the project. The research will involve processing and analyzing large volumes of operational data from onboard systems, including propulsion, navigation, environmental sensors, and
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grids, such as cascading blackouts, natural disasters and deliberate sabotage, causing large-scale power failures with severe consequences. The rapid growth of distributed energy production and storage
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in a large, exciting and societally important organisation an ambitious work community which is developing rapidly. We strive to include employees at all levels in strategic decisions and promote
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description will be developed in cooperation with the supervisor. Contact For further information about the position, please contact: Head of Department Stig Mathisen Phone: +47 476 00 220 Email: stig.mathisen
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of work for the PhD study will be on power management and conditioning of large fuel cells for maritime electric systems, with focus on efficient power system integration and controls. The candidate will
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quantum computing, aiming to solve small, complex sub-problems using Quantum Process Units (QPUs) while leveraging classical High-Performance Computing (HPC) on data-intensive tasks. With dedicated
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be responsible for developing, automating and optimizing data acquisition and analysis workflows for experimental datasets. The candidate will work on the following tasks: Simulation and modeling
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education in a large, exciting and socially important organisation an professional work community which is developing rapidly. We strive to include employees at all levels in strategic decisions and promote
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perspectives, innovative methodologies, or emerging technologies, the candidate will engage with the museum's archaeological heritage, including data and materials generated through cultural heritage management