564 computer-programmer-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData"-"BioData" positions at Pennsylvania State University
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into the computer system for tracking and record-keeping purposes; monitor incoming faxes and distribute to client files Work within the center's Electronic Medical Record (EMR) and manage sensitive information
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asked to use a computer or laptop to administer carefully developed research questionnaires via telephone to respondents (people) in Pennsylvania from all walks of life. The position offers some day-time
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demonstrate ability to maintain confidentiality and handle sensitive information; high attention to detail and accuracy; strong organizational skills and ability to follow established procedures; basic computer
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This position typically requires a High School diploma/GED or higher plus one year of related experience, or an equivalent combination of education and experience. Proficiency with standard computer applications
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optical microscopes. Additional tasks, e.g. data processing and computer networking, as well as general facility upkeep, maintenance, and organization may be applied. Education and Experience
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and engineers to bring new ideas to fruition Perform data analysis on navigation sensors and systems Analyze laboratory and field test data Develop skills in analysis to plan and conduct tests
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of MATLAB or Python Ability to take data in an organized fashion and write a report about their results Students in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Computer Engineering
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research and analytics Plan and support promotional activities for Transportation Services events Collaborate with internal partners, agencies, and vendors on marketing initiatives Communicate project and
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plan to be available for meetings during business hours (8-5, M-F), but a bulk of the work can be completed on a flexible schedule. The candidate should be self-directed with an ability to organize and
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on-site or remotely as needed and will gain valuable experience on an interdisciplinary project that bridges computer science and learning science. Preferred Qualifications Technical Skills: Familiarity