696 computer-engineering-"https:" "https:" "https:" "Univ" positions at Pennsylvania State University
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are looking for Data Science Engineers, to join our Geospatial Data Science team in the Applied Research You will aid our research efforts in this unique problem area that has applications in defense, law
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are searching for an Engineering Project Manager to join the Fluid Dynamics and Acoustics Office (FDAO) of the Applied Research Laboratory (ARL) at Penn State. This position will make an impact in supporting
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the Materials Science and Engineering department. The project manager is needed to oversee the NSF Research Traineeship (NRT) “Data science-driven sustainability-centered advanced materials processing (Sus-Mat
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, computer science, physics, or engineering by the start date of employment. Strong expertise in one or more of the fields of scientific computing, data science, and quantum computing accompanied by strong programming
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, and analog front-end design Familiarization with circuit modeling and simulation methodologies Preferred skills/experience areas include: A Master’s degree in Electrical Engineering or Computer
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in the comparative medicine review from Jan 2025 Create a data and technology support program to provide actionable insights into the strategic operations of the program Develop and leverage strategic
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REQUIREMENTS Overview: Penn State Office of Physical Plant Sustainability team is seeking a dedicated and passionate student to support the growth of the Sustainable Labs Program. This role is ideal for someone
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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 here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the...
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prepares trainees for professional careers through comprehensive clinical, regulatory, and scholarly training. Learn more about the program and the didactic curriculum at: https://med.psu.edu/residencies
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field at the time of appointment is required. The successful applicants will be expected to have a strong statistical and computational background, research experiences showing independence and innovation