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Engineering at NTNU in Gjøvik seeks a PhD candidate to work in the field of circular economy and wood-based construction. The position aims to optimize circular value chains for wood-based materials by
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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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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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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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of Norway (NFR). DYNCAT aims to develop highly predictive, physics-based models to study and optimize the Rochow Mülller process, which generates the raw material for silicone production. The project will
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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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networks experience and qualifications within research, innovation and development good teamwork, communication skills and ability to participate in research communities across organisational units ability
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a central research task in SFI Smart Ocean, and the work is strongly linked to other research and industrial partners in the centre. Wireless acoustic transmission of data from sensors to the network
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acoustic transmission of data from sensors to the network has very limited bandwidth. To reduce the transmission requirement of data, onboard processing is therefore required in the sensors. This is
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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