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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 26 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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-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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the Regulatory Certificaytion for animal experimentation - Python and/or Matlab programming for data analysis, a proven track record of previous achievements in this domain is needed - Ability to work in a team
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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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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
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skills such as programming experience in R, MATLAB, Python, or a related programming language Experience conducting independent research in psychology or neuroscience Experience recruiting or scheduling
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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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programming such as Python, R, MATLAB, or other similar programs and experience in using simulation/optimisation models and advanced data handling techniques e.g. machine-learning techniques, statistics