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. The research topic of this PhD is Accurate and Scalable Simulation of Edge Systems.You will be part of the Cyber-Physical Systems group . General information about the position. The position is for a period of
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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
, preferably in seal/reservoir/overburden heterogeneities, static and dynamic reservoir modelling, and flow simulation. The candidate will work in a team of geologists, geophysicists, geochemists and staff with
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others in simulation on virtual robots, and provide a physical robot that can help test how the proposed approaches react to real-world environments. What the PhD fellow will work on, in collaboration with
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robot acts, but also its physical body. They will build on the work done by others in simulation on virtual robots, and provide a physical robot that can help test how the proposed approaches react
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engineering, ICT, computer science or a similar/related field. System safety and security engineering. Simulation and modeling for industrial systems. Technical expertise in the following areas: Background in
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knowledge base in applied thermodynamics, mathematical modeling, and modeling, simulation, and optimization of energy systems. To be eligible for admission to the doctoral programmes at the University
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thermodynamics, mathematical modeling, and modeling, simulation, and optimization of energy systems. To be eligible for admission to the doctoral programmes at the University of Stavanger both the grade for your
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analysis), code development, and numerical simulations. Access to high-performance computing facilities and datasets from laboratory experiments will be provided to support simulation and verification
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any publications, comprising also popular science works) Copy of diplomas and transcripts Applicants with education from abroad must attach an English or Scandinavian translation and explanation
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, structural, optical and electrical characterization methods, device fabrication and simulations. The infrastructure includes the Micro- and Nanotechnology Laboratory (MiNaLab) with a clean room area in excess