66 coding-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Pennsylvania State University
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the spring 2026 semester. Experience with Python coding is preferred. Typical duties include but are not limited to: Holding office hours Grading papers Proctor exams And any additional duties as assigned
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for various projects undertaken by the Detector Development Lab. This will consist of organizing, soldering, designing simple test PCBs/codes, and using the lab equipment to test the hardware we build
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environments in alignment with existing RMF packages Apply secure software engineering methodologies, security engineering principles, secure design and secure coding techniques along with the control selection
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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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, configuration, and provisioning using Infrastructure as Code tools like Terraform, Ansible, Puppet, and Chef Joint IO Range, Defense Research and Engineering Network, and/or other similar environments DOD and IC
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experience with QGIS or ArcGIS, specifically importing and visualizing spatial datasets. Basic coding experience. The student should be prepared to learn to clean data and configure datasets for import. How
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, and proper classification and coding of income and expenditures Process accounting transactions, including billing-related activity, journal entries, and reconciliations Identify accounting
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identify relevant information. Interest in climate science, environmental studies, data science, or related fields. Curiosity about data analysis, machine learning, or artificial intelligence, prior coding