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seminars. The scientific focus of this position is on the explorative discovery of novel semiconducting materials for the top cell of Si-based Tandem solar cells using combinatorial materials science. This
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attached to the eHACS project (Escaping the Combinatorial Explosion: Expert-Enhanced Heuristic Navigation of Chemical Space) which is about integrating knowledge-based expert guidance, modern molecular
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if the defense of the PhD-thesis is completed by 01.10.2025. It is a condition of employment that the PhD has been awarded Experience in algorithmic or combinatorial research is a requirement. It is a requirement
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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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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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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 methods for a grid island powered by
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by which peptides evolve new functions, including evolutionarily "optimized" structure-activity relationships that can be harnessed for therapeutics development. This project is funded by the Research
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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