697 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Pennsylvania State University
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are searching for an analytical and detail-oriented Financial Specialist to join our Program Finance and Analysis Department at the Applied Research Laboratory (ARL) at Penn State University. ARL’s purpose is to
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and other engineering personnel and Collaborate with principal investigators daily Perform inspections of test articles and document results Design and implement program specific test stand hardware
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State Intercollegiate Athletics, a Division I and Big Ten Conference institution, is seeking a Director of Operations for the Baseball program. This position operates under the general supervision
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, Criminal Justice, Military Science, or Business Administration National Industrial Security Program Operating Manual (NISPOM), specifically safeguarding classified information Security Information Management
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helping to continue the vision and mission of the department. They are responsible to the Associate Director of Student Services and Engagement for supervising and administering a Residence Life program
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engineering practices for research-grade code, version control (Git), reproducible environments (containers/conda), HPC/GPU computing. Publications in peer-reviewed journals demonstrating contributions
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military members to apply. You will: Provide support with post award management on mid-level complex program contracts which includes providing monthly reports on status of funds, Level of Effort (LOE
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. Students studying Electrical Engineering, Mechanical Engineering, Computer Science, Computer Engineering, Aerospace Engineering, Applied Mathematics, Data Science, or Physics are encouraged to apply
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The Penn State Information Technology (PSU IT) Infrastructure Division is seeking a Wireless Team Manager (Network Engineering Manager - Manager) to provide overall leadership for staff, service operations
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. Students studying Computer Science, Electrical Engineering or Mathematics are encouraged to apply. Experience in machine learning is preferred. Successful candidates will work up to 20 hours/week during