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and statistics in a higher education institution in Romania Specific Requirements advanced knowledge of econometrics and programming in Gauss and/or Matlab and/or Python and/or R is an advantage
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and
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skills experience with Matlab, Stata, R or Python; A high level of intellectual curiosity, analytical rigor, and a strong commitment to policy-relevant research. LanguagesENGLISHLevelExcellent Additional
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MATLAB, Python, or similar platforms for signal processing and statistical analysis. Maintain accurate records of data and experiments, adhering to laboratory protocols. Device Fabrication & Testing
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experience with both standard neuropsychological and basic science behavioral testing strong computer programming experience (MATLAB, or python) familiarity with diffusion imaging analysis methods This is a
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qualifications Preferred candidates will have experience with programming tools (UNIX, bash, MATLAB/Python programming), a strong college math background (linear algebra) and/or statistics, and previous research
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-for-year basis may be substituted Skills: Listening, verbal and written communication, analytical, and research skills Statistical, graphical analysis, and/or computer programming skills (MATLAB, Python
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; programming experience (e.g. Matlab, R, Python, or C++); experience with biomedical and dynamic systems models and advanced biomedical signal analysis; affinity to the clinical application of neurotechnology; a
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on wave motion. Experience with 3D Scanners. Experience with Python. Required Documents Resume To be considered for this position please visit our web site and apply on line at the following link: https
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scientific programming using Python and MATLAB, including experience with machine learning and data science libraries such as PyTorch, MONAI, TensorFlow, Scikit-learn, and related tools for 3D medical image