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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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This research aims to design a sustainable framework for optimizing distributed computing systems to enhance performance while minimizing energy consumption. Existing scheduling algorithms often
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral position in microfluidic RNAseq-based screening for optimal T-cell expansion
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research project on the optimal energy storage control under distribution system constraints. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and
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minerals; energy efficiency; renewable energy technologies; and sustainable fuels. Within this framework, a faculty position in AI-Enabled Modeling and Optimization of Energy Systems is available in
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community. We are now looking for a Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems Are you passionate about developing AI-based and quantum-inspired solutions
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Siri Pedersen 9th August 2026 Languages English Norsk Bokmål English English PhD Fellowship in Data-Driven Optimization of Multi-Energy Systems Apply for this job See advertisement Job description
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) energy storage system for the simulation, analysis, and optimization of its operation within complex energy systems. The model will be used to support predictive energy resource management and the
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(100%) doctoral scholarship holder in the field of thermal energy system optimization. Position You will actively work on the preparation and defence of a PhD thesis in the field of thermal energy system
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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