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Field
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good knowledge of experimental research methods and statistics, experience with sta-tistical software (e.g. JASP, R)•Programming skills (e.g. in Matlab, Python/Psychopy and/or R) or willingness
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languages (Python/MATLAB) commonly used in machine learning applications, is desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate
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Bachelors, or Masters degree in Electronic, Chemical Engineering, Applied Physics, Physical Sciences or equivalent. Experience in one of the following topics will be a plus:· Working knowledge of MATLAB
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of working in a multidisciplinary, international consortium?Are you familiar with Python, MATLAB, or similar tools for data analysis and optimization?Are you eager to contribute to EU-wide goals on energy
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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 | about 1 month 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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will be required to demonstrate their ability to identify fundamental flow features and model these using suitable CFD methods. Experience in Fortran/C/C++/Python/Matlab is an advantage but not essential
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require strong analytical and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team
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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