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experience. Proficiency in statistical programming languages (Python, R, or SQL) is required. Experience and knowledge of quantitative methods including causal inference and econometric analyses. Additional
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electrophysiology (neural recording, EMG, or related techniques) Exposure to sensor design, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition
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Member of the Faculty at Massachusetts General Hospital, Harvard Medical School. More information can be found at https://www.hsph.harvard.edu/profile/christy-denckla/. Job-Specific Responsibilities
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with electrophysiology acquisition and analysis (for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including
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(for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including reproducible analysis workflows Familiarity with
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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu
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Member of the Faculty at Massachusetts General Hospital, Harvard Medical School. More information can be found at https://www.hsph.harvard.edu/profile/christy-denckla/. Job-Specific Responsibilities
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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tables, and modeling. Ability to develop clear and complex visualizations Technical Proficiency: Prior experience with SQL, QlikView, MS Power BI, R, or Python is highly preferred. Communication
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scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. Acquires Specialized Training. Attends trainings and skill development