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, synchrony, connectivity, oscillations) o Quantitative analysis of network activity from MEA and/or imaging o Proficiency in Python, MATLAB, or similar languages for data processing, statistics, and
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. This position is a benefits-eligible, two-year term appointment through June 30, 2028. Core Responsibilities Design, build, and maintain ML/AI systems and research software in Python and C/C++ Develop and
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(preferable) or Python, as well as the ability to read and adapt to other languages. Additional Qualifications: Proven ability to work independently and creatively. Proficient and creative with AI
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data using python. Report results using a variety of scientific, word processing, and presentation platforms. Maintenance and cleaning of additional laboratory equipment and glassware. May instruct other
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working with large-scale behavioral or digital trace data. Strong proficiency in Python (required) and experience with statistical modeling in R or similar environments. Experience designing data pipelines
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coding abilities, including skills in statistical analysis (e.g., R), computational methods (e.g., NLP methods), programming (e.g., Python), online research tools (e.g., Qualtrics) Strong interpersonal
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and execute plans for complex and sometimes non-linear work Analytical interest and competence, including experience with quantitative statistical packages in STATA, R and Python. Experience and
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, 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 preferred
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computer programming experience in any language (R or Python preferred) is required Fluency in Spanish is required Additional Qualifications and Skills: Bachelor's Degree in Environmental Science, comparable
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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