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advantage Ability to implement numerical workflows in Python or Matlab Understanding of surrogate modelling or reduced order modelling (e.g. DMD, POD) is an advantage Ability to learn new methods quickly and
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begins on September 1st, 2026. The position focuses on doctoral studies and research within an interdisciplinary consortium exploring musical experiences across different performance contexts. The fixed
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the atmosphere and near-Earth space for different conditions, including extreme solar events. The duties will include: You will be an active member of a multidisciplinary research group working on cutting-edge
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closely related field. You are skilled in data-driven modelling methodologies, data analytics, and programming (Python, MATLAB, C/C++) You have a keen interest in real-time systems and digital twin
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of physics related to electrodynamics and magnetohydrodynamics, geosciences, and solar physics. Experience in numerical modelling, knowledge of programming languages (e.g., Python, Matlab, Fortran, C). Ability
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PCB/CAD design Programming skills (Python / C++ / MATLAB) Basic knowledge of signal processing Highly motivated to design, implement and test novel ideas and concepts In accordance with Marie Skłodowska
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to publications Who we are looking for Requirements -Experience with single‑cell RNA‑seq analysis (Seurat, Scanpy, or similar tools) -Strong programming skills in R and/or Python -Ability to work independently and