1,700 electric-machine-design-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Pennsylvania State University
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. You will: Assist in the design, fabrication, and integration of electrical hardware and RF system test setups/fixtures Develop, modify, and troubleshoot software (C, C++, Python) supporting hardware
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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transitioning military members to apply. You will Assist in the design, fabrication, and integration of electrical hardware and RF system test setups/fixtures Develop, modify, and troubleshoot software (C, C
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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design of electromechanical products Assist in developing electrical, mechanical, and software tools to support testing of complex electromechanical systems Utilize computer aided design software to assist
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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focus in electromagnetics. The candidates must have expertise in computational electromagnetics, RFIC phased array antenna design, and machine learning. This is a term appointment funded for one year from