This blog post is about ecology, statistics and real life data.
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This blog post is about ecology, statistics and real life data.
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REMODEL is a Staff Exchange programme funded by the Marie Curie Actions of Horizon Europe. In his article you find information about this funding scheme and a description of the min research topics of this programme investigating the mathematics of deep learning.
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This blog post on secure internet voting describes cryptology research at NTNU which has had impact on electronic elections in the Church of Norway.
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The vast oceans will always be under-sampled, but with the availability of satellite data and physics-based numerical ocean models one can gain nuanced insight about a variety of ocean variables.
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Geophisical data inversion is crucial for understanding properties of the subsurface.
The vision in this projects has been to
– provide creative mathematically based solutions to recognized challenges in reservoir evaluation,
– develop methodologies for analysis of spatial and spatio-temporal phenomena.
by Andre’ Massing The burden of mesh generation The generation of meshes, as a fundamental prerequisite for the majority of computational methods for partial differential
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By Andrea Leone, Ergys Çokaj, Halvor Snersrud Gustad Halvor is an industrial-PhD student at TechnipFMC, a global leader in oil and gas engineering, and the
Read moreBy Håkon Noren While the tiny boat was immersed in darkness on the largest freshwater lake in Norway, Mjøsa, an underwater remotely operated vehicle (ROV)
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Jo Eidsvik, Department of Mathematical Sciences, NTNU Steinar Ellefmo, Department of Geoscience and Petroleum, NTNU The international association of Mathematical Geosciences (IAMG) conference will take
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By Jo Eidsvik, Department of Mathematical Sciences, NTNU Research Director, Centre for Geophysical Forecasting The Centre for Geophysical Forecasting (CGF, https://www.ntnu.edu/cgf) is one of the Norwegian centres
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