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A solid background in mathematical modelling, ordinary and partial differential equations, dynamical systems, and numerical analysis Excellent programming skills (e.g., Python, Matlab, Fortran or C/C
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discipline with a strong mathematical component A solid background in mathematical modelling, ordinary and partial differential equations, dynamical systems, and numerical analysis Excellent programming skills
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. Perform numerical simulation to get insight of process. Develop hybrid shell–concrete (geopolymer) composites. Investigate carbonation routes to enhance CO₂ capture. Cooperate with other researchers
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partners: SINTEF Energi, NTNU, KTH The project aims to advance knowledge on clamping force evolution through experimental studies, sensor-based monitoring, and numerical modelling, laying the foundation
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, differential equations, geometry/topology, numerical analysis, optimization, and statistics. Part of the research is also carried out in close cooperation with other fields of science and technology at NTNU, as
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generation. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent
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learning, e.g. using JAX, based on numerical models such as Higher Order Spectral method, mcsimpy, etc. Collect real metocean data from relevant online databases, datastreams such as from R/V Gunnerus, and
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. using JAX, based on numerical models such as Higher Order Spectral method, mcsimpy, etc. Collect real metocean data from relevant online databases, datastreams such as from R/V Gunnerus, and experimental