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, enabling multi-vessel charging and scalable maritime electrification. Advanced control strategies and data-driven optimization methods will be considered to enhance the efficiency, sustainability, and
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policymakers by providing evidence-based guidance to support informed decisions and ensure children receive interventions that optimize their developmental progress. As a PhD candidate at OsloMet, you will have
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code compilation, which offer a modular approach to domain-specific optimizations. Your project is expected to contribute to cutting-edge research initiatives leveraging, analyzing, and exploiting
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methods to be considered for numerical optimization by an Energy and Emission Management System (EEMS). Data-driven AI methods (e.g. Reinforcement Learning and/or Recurrent Neural Networks) to be considered
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and research, in and outside academia. About the project The proposed research aims to optimize the design of timber building systems with innovative connections and achieve an extended service-life
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. Magnetic materials like antiferromagnet materials have fast THz spin dynamics, picosecond switching speeds, and net-zero magnetization, making them resistant to external magnetic interference and ideal
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experimental data. Analysis of optimal design conditions of the process. Parametric studies to assess the concept’s capabilities and boundaries including operation at off-design conditions. Use of AI-based