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%). You will work on the extension of the DUNE-FEM package to support computations on GPU hardware with various types of Finite Element methods. This work is embedded in a research project considering
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. The work will investigate how physics-based models, reduced-order representations, and data-driven approaches can be combined and embedded in MBSE frameworks to support early-stage architectural decisions
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to support computations on GPU hardware with various types of Finite Element methods. This work is embedded in a research project considering structure preserving Finite Element methods for multiphase flows
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relationships and assess tree species sensitivity to climate stressors using both global databases and experimental data from Rwanda TREE project (https://www.rwandatree.com ). The researcher will have close
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investigate how physics-based models, reduced-order representations, and data-driven approaches can be combined and embedded in MBSE frameworks to support early-stage architectural decisions, trade-off analyses
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widely in e.g. safety-critical (embedded) systems, data analysis, weather forecasting, physics, and engineering. Verifying that such programs are correct is challenging because of rounding errors due
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. Methods include field sampling, taxonomic identification, stomach content analyses, and eDNA techniques. The position is embedded in several funded national projects, providing access to rich datasets
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experimental partners in Metapix . As a postdoc you will be embedded in the recently funded Metapix center and you will be part of the Condensed Matter and Materials Theory division , a research group tackling