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- 1st September 2025 Languages English Norsk Bokmål English English Do you want to research work scheduling using artificial intelligence? PhD Fellowship in AI-Based Shift Scheduling: Optimization
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and optimization techniques, this research aims to identify optimum design and operational strategies that enhance system flexibility, improve resilience to variable supply and demand, and minimize
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Fellowship period at the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization methods for a grid island powered by renewable energy, supporting
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storage in depleted petroleum fields: In this project, you will investigate and aim to optimize CO2-assisted oil production (CO2EOR) and subsequent CO2 storage. Simplistic models for a fundamental
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deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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, detecting pesticides and pathogens in agricultural production. In this part of the research, the goal is to optimize local CNT growth conditions at low temperature using different catalyst materials, while
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. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Job description The person hired in the position will work on theoretical control and optimization
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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working capacity, and increasing the number of professionally active seniors "Hjem-jobb-hjem" discounted public transport to and from work as an employee in Norway, you will have access to an optimal