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include computational programming (Matlab, LabView, Python, etc) and sensor instrumentation, signal capture, and processing. FLSA Non-Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40
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their performance. The modelling and implementation shall exploit the latest paradigms in programming and modelling languages, such as Python, Matlab/Simulink, etc. Another option is to exploit Machine Learning
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine Learning Formal
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programming (Python, MATLAB), and a high level of experimental autonomy will be particularly valued. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR9001-NORLAN-013/Default.aspx Work
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measures for comparing hearing performance between ANI and CI users. Create and maintain software tools for stimulus delivery, response collection, and data analysis (MATLAB and Python). Collaborate with
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; familiarity with Julia and Matlab is appreciated. -Excellent written communication skills in English. Additional comments Flexible starting date Website for additional job details https://emploi.cnrs.fr/Offres
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Python or Matlab. Desirable criteria Additional biomedical experience such as medical training and working with fMRI data Strong communication skills and passion to disseminate research findings, including
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, experience with programming in MATLAB, Python, or similar for data analysis is highly valued. Great emphasis is put on personal qualities such as the ability to independently plan and carry out work. You have
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optics and related models and techniques, or interest to learn them Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Advanced English (written and spoken) Will to learn new techniques and
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excitations in nanoscale structures (e.g. methods of computational chemistry) or related techniques. Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Will to learn new techniques and approaches