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Field
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converters. Very good analytical skills and methods Experience with simulation and design tools such as Plexim, PSIM, FEM tools, Altium Designer and MATLAB Experience in the development, troubleshooting and
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systems have not been studied extensively. This PhD will model loads, generation, and the electrical network in Matlab/SIMULINK from an electrical network perspective and undertake network studies to assess
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configurations will be used to develop models in Matlab/SIMULINK of bipole converters with neutral current regulation. The research will then consider the potential interactions that may occur when all
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characterisation techniques is beneficial, but not required; Experience in at least one programming language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, ...); Good communication skills and
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modelling; Knowledge of spectroscopy is beneficial, but not required; Experience in at least one programming language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, ...); Good communication
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background in applied mathematics, computational mathematics, computer science, physics, or engineering is suitable. Basic programming experience (e.g., C, C++, Julia, MATLAB, Python, or similar) is necessary
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psychoneuroendocrinology, enthusiasm for interdisciplinary research, and strong skills in experimental set-ups/performing lab-based studies and statistics. Programming skills (Python, R, Matlab) and experience with MRI data
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Institute National De La Santé Et De La Recherche Médicale | Paris 15, le de France | France | 3 days ago
equivalent in systems biology, computational biology, bioinformatics, or a similar field. The candidate should have good programming skills in Python or MATLAB, and ideally R. Good knowledge of biochemistry
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strong background in statistics. Experience with human EEG and gut microbiota, as well as programming skills (Python, Matlab), are advantageous. Very good English language skills are required. The ability
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highly desirable, alongside knowledge of MATLAB/Simulink/Python or similar tools. Familiarity with sustainability frameworks (e.g., ESG, Mission Life-cycle Assessment) and interest in interdisciplinary