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Field
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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes
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English, with the ability to communicate complex ideas clearly. Ability to work independently on a research agenda while collaborating within a large, multidisciplinary, international consortium
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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Mathematics, or a closely related quantitative field. You love physics and complex systems and are either familiar with, or very eager to learn about, (road) network traffic flow theory and simulation. You are
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bioinformatic workflows, including diagnosing computational and analytical problems when established pipelines or software are not directly applicable. Experience working with complex, heterogeneous
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, molecular assemblies, intrinsically disordered proteins, biomolecular condensates, cellular organization, biological networks, molecular evolution, or systems-level biophysical phenomena. The scholar’s
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 2 months ago
networks, and computational modelling. Within the Department, we maintain strong synergies with the Neural Computation Group (PI: Andrej Bicanski ), which develops mechanistic computational models of brain
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the intent to diversify the scientific research community. For this reason, we strive to contribute to a non-linear career path with the aim to expand your technical expertise and network for a succcessful (re
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens
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complex dynamic system. Minor disruptions can lead to major delays with traffic jams spreading like oil spills over entire networks. We believe traffic management based on reliable predictions is therefore