37 computer-science-programming-languages-"U.S"-"U" positions at Pennsylvania State University
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extension opportunities to support the expansion of the Advance program. Evaluate opportunities for improving the Advance program as it relates to improving key outcomes: student skill development and value
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Interact and collaborate regularly with program management, program sponsors and stakeholders Develop and maintain long-term professional relationships with relevant manufacturers and system integrators, as
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be funded through the National Institute of Health (NIH) and Supplemental Nutrition Assistance Program Education (SNAP-Ed). This person will play a key role executing patient-facing tasks for a fruit
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and scientists, program management, program sponsors and stakeholders Prepare research papers and make presentations related to work performed Document work through reports and presentations This job
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pipeline to maximize efficiency Improving systems through updates and optimizations using various technologies Present program overviews, proposals, and technical briefings at internal and external events
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the ability to explain technical concepts to individuals with varying levels of technical expertise Preferred Qualifications: R, Python, or other programming languages Experience with using or creating
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, sociology, psychology, or related fields, as well as excellent interpersonal and organizational skills, are preferred. Experience with programming languages (e.g., SAS or R) and qualitative analysis software
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also work closely with the MyResource team (Director, AI Integration Developer, Program Coordinator, and Project Manager) to optimize existing models and develop innovative solutions. The BSA must be a
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discipline. Additional experience and/or education are required for higher level jobs. A Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science is preferred. Experience with
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will: Develop and implement data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software Apply data