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submission of a manuscript for publication. Basic Qualifications Bachelor’s degree in computer science or closely related field Additional Qualifications Proficiency in programming languages (R, Python, Java
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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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(R, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS
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, data management, or program management is required Experience with programming languages like R, python, SAS is required Additional Qualifications and Skills: Master's Degree (MS, MPH, or other relevant
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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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platforms including the MS suite of software, GitHub, R, and Python. Works under supervision and independently to perform basic (descriptive analyses), moderately advanced statistical analyses (inferential
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platforms including the MS suite of software, GitHub, R, and Python. Works under supervision and independently to perform basic (descriptive analyses), moderately advanced statistical analyses (inferential
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programming skills (Stata, R, Python; MATLAB) • Knowledge of econometrics and macroeconomic theory • Plus if also skilled in blockchain analysis but not necessary. • Strong written and verbal communication
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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