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with staff ID card For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards Must be authorized to work in the United States on
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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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databases (potentially using Python for scripting or CMS integration); gathering and documenting user requirements through user research and analytics; leveraging tools like Google Analytics 4, Siteimprove
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AZ Inst for Resilience Department Website Link https://air.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights Arizona Institute for Resilience in Office of Research
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Website https://www.academictransfer.com/en/jobs/359143/research-software-engineer/appl… Requirements Specific Requirements You have a background in software engineering, preferably with experience in web
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experimentally, followed by further model improvements, and implementation or design of a robust workflow and predictive design tool. Where to apply Website https://www.academictransfer.com/en/jobs/359149/engd
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phase noise metrology is advantageous ? Ability to code with, or learn to code with: MATLAB, LabView, and Python is required Application Instructions Please upload the following with your application
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
-driven AI workflows (e.g., task decomposition, planning, tool integration, validation loops) for real-world research scenarios. Develop and maintain production-quality software (primarily Python) to enable
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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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ability to evaluate code quality, architecture, and technical debt. Experience developing software using programming languages common in academic research, such as Python (expert-level), R, C/C