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Organizational Unit: Clean Energy Innovation Classification: RO Tenure: Term Duration: Until 31 March 2029 Language Requirements: English Work arrangements: Due to the nature of the work and operational
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Skjalg Bøhmer Vold 6th November 2026 Languages English Norsk Bokmål English English PhD fellowship in quantum computing, optimization on noisy gate-based NISQ platforms Apply for this job See
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are also expected to present research findings at international conferences and workshops. Project description Many proposed quantum algorithms for optimization, including the quantum approximate
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on advancing the state of the art in decision diagram-based methods for combinatorial optimization, including the development of new theory, algorithms, and high-impact applications. The candidate is expected
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based on techniques such as column generation, branch-and-price, and Benders decomposition. You will be expected to: develop new game-theoretic/optimization models for multi-actor decision problems
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Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation, power conversion, energy and
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/optimization models for multi-actor decision problems; design scalable solution methods for large-scale optimisation problems; contribute to scientific publications in leading journals in operations research
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) has vacancy for a PhD fellowship in Predictive AI-Based Maintenance and Optimization of Building Energy Management Systems. aiD is one of the new Norwegian AI research initiatives, funded by
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for Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in
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the Diário da República, an international call for tenders, with internal reference “Inv.Jun.20.2026-DCEA”, for the recruitment of 2 Junior Researchers in the scientific area of Energy, subarea in a Fair