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simulation models in MATLAB/Simulink and PLECS, particularly models of power semiconductor converters; • proficiency in written and spoken English. Selection process • copies of educational qualifications
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-performance computing approaches for EMT simulation. Create automated workflows for large-scale stability assessment and contingency screening. Identify and analyse converter-driven stability phenomena
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standard simulation methods. This PhD topic falls within the area of computational materials science and will involve the use of established methods such as density functional theory and molecular dynamics
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Long term management of large scale computing infrastructures requires
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) Positions PhD Positions Application Deadline 14 Oct 2026 - 11:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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29 Aug 2026 Job Information Organisation/Company ARCNL Research Field Engineering » Computer engineering Engineering » Precision engineering Physics » Computational physics Physics » Metrology
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 1 day ago
catalysts. The position is available immediately, and the starting date is flexible. The doctoral researcher will work on a 3-year doctoral program and the postdoctoral position is initially for 12 months
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on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 43. Questions For specific
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filters and observers, for real-time applications. Proficiency in MATLAB and Simulink for modelling, simulation, and validation using experimental or real-world data. Strong analytical, independent research
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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation