650 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at Pennsylvania State University
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. This position is subject to federal Department of Transportation testing for alcohol and controlled substances (49 CFR PART 40), and physical examination requirements as per PA. CODE 231.85. Penn State does not
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experiments (e.g., PsychoPy), and using AI tools (e.g., large language models and AI coding agents) to assist with experiment design, data analysis, and research workflows. Qualifications: Excellent
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operate in compliance with all governing legislation and regulations including: The Higher Education Act of 1965 as amended by the Higher Education Opportunity Act of 2008; The Code of Federal Regulations
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operational needs into effective technical solutions in support of agency-wide initiatives. Ensure code quality through peer code reviews, unit testing, and adherence to development best practices. Support and
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Perform hands-on work in a laboratory environment Use multiple computing languages, analysis tools, simulations, and measurement systems You must be a U.S. citizen to apply. Employment with the Applied
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skills/experience areas include: System administration (server and desktop security implementation and management and software development IT infrastructure setup and management) U.S. Government computers
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code Clean janitor closet Vacuum carpeting in dining areas Operate equipment such as floor machines, buffer, vacuum cleaner, window washer, etc. Report malfunctions of equipment to supervisor Clean
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on accounting-related inquiries and procedures. The successful candidate will: Review accounting records for accuracy, completeness, and proper classification and coding of income and expenditures
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optics for imaging applications including infrared Substantial experience with optical design and analysis software (Zemax, CODE V, Trace Pro, FRED, etc.) Knowledge of current coating and optics
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assessment for Statistics Education funded in part by the U.S. National Science Foundation. Successful applicants will work on a team with faculty and graduate students from the departments of Statistics and