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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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- The Norwegian School of Sport Sciences
- University of Stavanger
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resources. The successful candidates will be a part of a dynamic and internationally connected research environment at the Department of Engineering Cybernetics, renowned for its leading expertise in
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models, and collaboration mechanisms to ensure efficient, reliable, and sustainable use of shared offshore energy resources. The successful candidates will be a part of a dynamic and internationally
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mission is to educate, investigate and present a broad range of topics within theoretical and practical sport science. Our Bachelor's degree, Master's degree and PhD programmes aim to be of great relevance
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edge intelligence Knowledge of accelerator simulators Strong knowledge in deep learning, particularly dynamic neural networks Experience with accelerator performance modelling Strong academic writing
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computational study (atomistic modeling) focusing on the equilibrium and dynamics of gas and water molecules in porous materials Probing different stable structures of gas and water in (and possible reactions
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. This project aims to uncover fundamental "algorithms" the mammalian brain uses to predict or choose between dynamically moving agents, working at the intersection of ethology, computational behavior and systems
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relevant topic in machine learning, embedded systems, and edge intelligence Knowledge of accelerator simulators Strong knowledge in deep learning, particularly dynamic neural networks Experience with
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education until obtaining a doctorate Carry out computational study (atomistic modeling) focusing on the equilibrium and dynamics of gas and water molecules in porous materials Probing different stable
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reveal the health and dynamics of planktonic ecosystems. The candidate will also have the opportunity to collect more data to further test the power of their methodological developments. The PhD project
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modelling and monitoring such complex systems. However, the ongoing energy transition also introduces significant uncertainty due to fluctuating renewable generation, dynamic demand, and increasingly complex