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storage, demand‑side management, and hybrid PV–wind systems. Development of optimal strategies for increasing grid hosting capacity considering power quality, voltage stability, and losses. The research
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transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management
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9 Jul 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Aug
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UiO/Anders Lien 15th August 2026 Languages English English English PhD Research Fellow in computer science/AI for energy informatics Apply for this job See advertisement About the position We invite
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
(Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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. Competence in the theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants
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, scientific computing, optimization, and data management, with close collaboration across engineering and applied sciences at NMBU. Research activities are strongly application-driven and connected to real
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optimization Familiarity with continuous-variable/bosonic systems, non-Gaussian states, multimode entanglement, or Wigner-function methods Experience with HPC workflows (cluster computing, GPU computing
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high-frequency power conversion technologies through analytical modelling, multi-domain optimization, hardware development, and experimental validation. The research will explore the interaction between