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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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skills and high motivation to learn new skills. Familiarity with a mathematical programming language (e.g., Matlab, Mathematica) is preferable but not essential. Independence and problem-solving skills
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experience • experience with physiological data (e.g., cardiac activity), motion capture, or biosignal analysis • experience with statistical software or programming tools (e.g., Julia, MATLAB, Python, R
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data processing, single-cell data processing, and Matlab, R, or Python, and scientific illustrations will be an advantage. Finally, the ideal applicant also has high proficiency in spoken and written
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of computational electromagnetics. High proficiency in Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including
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Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including presentation skills. Good organizational skills
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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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., Python, Matlab, Fortran, C). Ability and willingness to learn new things. Good communication skills. See also the requirements of the University of Oulu Graduate School (UniOGS) . Salary The position is
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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