1,481 computer-science-intern "https:" "https:" "https:" "https:" "DESY" positions at Pennsylvania State University
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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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engineering principles to ensure program success Work closely with cross-functional teams to ensure reliability of the system Prepare detailed reports and presentations on findings and share insights with
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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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from concept through design implementation and test of complex electromechanical-acoustic systems Preferred skills/experience areas include: Advanced degree in EE, ME, Computer Engineering and/or
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operations. Assist with management of program budget in collaboration with the Head Coach. Coordinate team academic schedules and class accommodations. Collaborate with the equipment manager on team apparel
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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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for contract training to drive “business-to-business” program growth. * Develop and maintain relationships with corporate clients, internal stakeholders (including Academic Affairs, Career Development
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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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REQUIREMENTS We are seeking a motivated undergraduate student in Mechanical Engineering for a National Science Foundation (NSF) funded summer research internship focused on developing computational models