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Field
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/stochastic optimization and proficiency in Python or MATLAB. Applicants are invited to contact Dr Liu Wei at telephone number 2766 6928 or via email at [email protected] for further information
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to characterize the brain network interactions using connectivity and graph theory metrics. Develop reproducible computational pipelines in MATLAB, Python, R, or similar platforms for electrophysiology processing
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related fields). Holding a PhD degree, obtained upon completion of doctoral studies. Programming skills (Matlab, Python, etc.). Ability to work with large datasets. Knowledge of basic statistics. Ability
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, or quantitative biomedical research Strong programming and data-analysis skills in MATLAB and/or Python Demonstrated ability to independently design experiments, troubleshoot complex technical problems, analyze
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, or quantitative biomedical research Strong programming and data-analysis skills in MATLAB and/or Python Demonstrated ability to independently design experiments, troubleshoot complex technical problems, analyze
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skills and strong publication records to apply. Some skills in analyzing/evaluating large data sets are highly desirable. Knowledge of an advanced programming language such as MATLAB, Python, etc. is
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experiments • Analyze imaging and behavioral datasets using MATLAB or Python • Contribute to manuscript preparation and grant development Required Qualifications • Ph.D. in Neuroscience or related field
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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neuroscience or sensitization; Proficiency with REDCap and with R, MATLAB, or Python. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience
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cognitive science, cognitive psychology, developmental psychology, or ethology is expected. Proficiency in a programming language (e.g., Python, Java), as well as in data analysis (e.g., R, MATLAB), will be