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. Qualifications Hands-on experience in data analysis An experience in astronomical/scientific data analysis is preferred. 1-year experience in Python programming is essential. (Required) Hands-on experience in data
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. Knowledge of basic mathematical and statistical concepts and skill in using standard computer and scientific software, including data analysis or analytical tools such as R, Python, ArcGIS, or comparable
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security. Proficient in advanced analytics and statistical modeling using Python, R, and big data tools. Skilled in managing database systems such as MySQL, Microsoft SQL Server, PostgreSQL, and REDCap
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) Familiarity with data security, compliance, and responsible AI principles. (Preferred) Knowledge of Programming Languages - C#, Python (Preferred) General knowledge of Apex, Visualforce, Lightning Components
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within monthly or quarterly NERSC EE meetings, as needed. Serve as the technical representative for NERSC as part of the Energy & Water Management System - ISO 50001 (https://iso50001.lbl.gov ) team, with
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manipulation skills including the ability to interpret complex healthcare data and aggregate, reorganize, and pivot data to find new and meaningful insights. Fluency in the Python programming language and
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& Advanced Analytics Build and maintain reproducible workflows using tools such as Python, R, Bash, Docker/Singularity, Git, and workflow engines (e.g., Snakemake, Nextflow). Integrate established neuroimaging
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with the applicant’s qualifications and experience. Department: https://msi.ucsb.edu/ Qualifications Basic qualifications (required at time of application) Applicants must have completed all requirements
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, data collection, processing, and analysis of behavioral data. Additional responsibilities will be assigned based on the successful candidate's skills and interests. Department: https://psych.ucsb.edu
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programs. Expertise in a range of engineering-related tools and applications, to include MatLab/Python, EnergyPlus, Labview, Excel, including libraries for conducting numerical analysis of time series data