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to complementary physical properties of thermal, combustion and detonation. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3346-NADMAA-156/Candidater.aspx Requirements Research
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full-wave simulations and characterize the relevant metamaterial structures. Extend existing analytical tools and numerical models. Prepare and publish scientific articles and reports and co-supervise
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support for process development from laboratory to pilot to demonstration scale Working with a wide range of simulation tools such as CFD, numerial optimisation and artificial intelligence Topic-independent
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address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics
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how combinations of genetic variants shape disease risk and how AI methods can most effectively model these patterns. Both stipends involve working with simulated data, biobank-scale genomic resources
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analysis of spatial-omics and imaging data, developing a framework for simulations, simulating epidemics on social networks, building generative models to improve computation time for simulations, and other
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urban data, forestry data, temporal and multivariate network modelling, and simulation of infection dynamics in Swedish city environments. The doctoral student will work on the design and implementation
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infrastructure. To close numerous knowledge gaps and address technological bottlenecks in hydrogen safety the use of cutting-edge modelling and simulation tools is needed. It is recognised that the most advanced
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characterize their electromagnetic performance. To validate the achieved tuning range and functional performance in laboratory measurements against modeling and simulation results. This position is part of
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these insights with larger-scale soil and plant models. Perform molecular dynamics simulations to investigate interactions between soil organic matter (SOM), extracellular polymeric substances (EPS), water, and