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of Brice Bathellier (Institut Audition), Virginie van Wassenhove (NeuroSpin), and Mehrdad Jazayeri (MIT). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/SNC9138-SRDOST-008/Candidater.aspx
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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 | 29 days 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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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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; 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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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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-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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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
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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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development and simulation environments (e.g., Python, C++, ROS, MATLAB) We are looking for first-class graduates with expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and