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non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess strong quantitative skills (e.g. Matlab, C++, Python). The term
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, natural science, quantitative science or in related fields affinity to programming, including programming in MATLAB, Python, or similar advanced English communication skills strong analytical skills strong
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into neuromodulation-based therapeutic concepts. Experience publishing research based on analyses using MATLAB and/or Python is preferred. https://www.ncnp.go.jp/ [Work content and job description] As a Research Fellow
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include the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin
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humans are immersed in the environment (VR/AR and/or mobile EEG). The ideal candidate will have: Extensive experience in programming in Python or Matlab and data analysis (essential, please note that
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implementation of data pipelines. Programming in computational neuroscience: Python, MatLab. Specific Requirements Knowledge: Processing of neural signals. Network science. Statistical learning. Algorithm design
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. Maîtrise des outils statistiques et computationnels (Python, MATLAB et/ou équivalents). Solide dossier de publications scientifiques, en tant qu’auteur principal ou contributeur clé, dans des revues à fort
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://canlab.la.psu.edu/ Qualifications: Experience with programming languages (e.g., MATLAB, R, Python) and analysis of fMRI data is preferred. MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS Associate Degree
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using digital learning tools such as R, Python, Stata or Matlab, and has strong data skills. Holds, or will soon complete, a doctorate in a relevant discipline. Desirable qualities include experience
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with data acquisition and analysis using software such as MATLAB or Python. Excellent written and oral communication skills, with a proven track record of publishing research findings. Ability to work