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Field
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one or more of the following: Python, SAS, STATA, Matlab, or related statistical packages. Strong attention to detail and high ethical standards. Willingness to learn and acquire new skills as needed. A
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research and analytical techniques; demonstrated statistical and quantitative analysis experience; at least one year of experience with Python programming language; and demonstrated effective communication
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responsibilities include i) lead developer of the core Python application, ii) major contributor to the project ecosystem design and implementation, iii) coordinator of working groups, and iv) major contributor
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deployment; building research software (e.g., Python packages, database systems) and other open-source tools for computational social science research. Other potentially relevant experiences and skills include
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Python, MATLAB, and/or R to process sEEG recordings and assess brain-behavior relationships across language, memory, and emotion domains. Author and prepare manuscripts for submission to peer-reviewed
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’ datasets. • A hands-on experience with large-scale human omics (preferably related to neurodegeneration) studies is expected. • He/she would have solid skills in at least one programming language (R, python
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a strong background in statistical analysis and data-driven modeling applied to large astronomical datasets and time-domain surveys. Expertise in programming languages such as Python, R and C
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University and the broader NYC cognitive science community. Responsibilities Include: Research & Analysis Develop and maintain Python-based pipelines for large-scale data processing (images/video, text
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or manuscripts in preparation. Experience with fMRI data acquisition and/or analysis (e.g., FSL, SPM, AFNI, fMRIPrep, nilearn). Proficiency in at least one programming language (e.g., Python, MATLAB, or R
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. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer-reviewed journals and present findings at national and international