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-economic analysis, life-cycle assessment, mathematical optimization, process-oriented modeling of industrial energy systems, and the analysis of regulatory frameworks. In particular, we focus on chemical
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You will work in a highly interdisciplinary research environment, with access to world-class nanofabrication and characterization infrastructure. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-3 and the research group in which this...
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of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim or http://github.com
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power
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Excellent university degree (Master’s) in Electrical Engineering, Physics, Applied Mathematics, or a related discipline Strong motivation for interdisciplinary research at the interface of energy systems
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Power grids are naturally represented as graphs, where buses, lines, transformers, generators, and loads interact through physical constraints. Recent developments in graph neural networks, and physics-informed machine learning open new possibilities for establishing grid foundation models....
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, energy systems, computational engineering, or a related field Strong background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas
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program through active engagement Your Profile A Master's degree with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming
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the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python (scientific
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Master and preferably subsequent PhD degree in Computer Science, Mathematics, Physics or similar fields Broad interest in diverse scientific topics Self-motivated personality with a curiosity for working