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development with the rapid growth of various applications. In this project, we want to explore SDN-based solutions to optimize wireless sensor network performance regarding packet latency, reliability, energy
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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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electricity markets designed to optimize cross-border power exchanges by explicitly incorporating physical transmission constraints into the market-clearing process. Unlike traditional market coupling
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projects will work towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en
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PhD Research Fellow in “Optimizing hydroelectric operations using predictive maintenance under data uncertainty” from August 18, 2025. This position is associated with the FME RenewHydro center
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distribution grid that ensures both the security of electricity supply and a path to a net-zero-emissions society. SecurEL aims to develop new knowledge addressing research challenges arising from accelerated
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, operations management, operations research, supply chain management, supply chain analytics, business simulation and optimization. The department of Accounting and Operations Management has 45 employees in
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-balance model and hydropower optimization The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no
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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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disorders (e.g., Cushing’s disease, metabolic syndrome, cardiovascular disease, sleep and shift work disorders). Beyond clinical applications, the research may contribute to optimizing athletic performance