699 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Pennsylvania State University
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a week depending on scheduling. Responsibilities -Assisting library users with the map and geospatial data collections using library systems, computer mapping tools, and online resources -Working
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visualizations in support of requirements Work directly with program leadership and customers to create, edit, formalize, and validate documentation according to set standards Maintain continuous communication
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each day, amount of water added to pools, bather load for each program daily, inventory of chemical supplied, towel and suit laundry inventories, and room and water temperature daily Receive and record
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, basic computer skills such as Microsoft Excel, Word, etc . Preference given to those with 1+ years of related experience and a High School diploma or higher, or an equivalent combination of education and
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(ARL) at Penn State. Interns will have the opportunity to work developing cutting-edge AI/ML techniques to solve problems in computer vision and geospatial understanding. Students selected will serve as
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and underrepresented student populations. This role is essential to enhancing the college’s recruitment, admissions, and student support operations through direct engagement, program coordination, and
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-generational environment. An aptitude for excellent interpersonal and computer skills. The ability to lift and stack up to 25lbs of weight with or without accommodation. To be considered for an opening, please
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computer systems. MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS General Equivalency Diploma (GED) or High School (HS) No prior relevant work experience required; previous relevant work
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the applicant’s doctoral program. Applications are accepted through Friday, January 2, 2026. State College, PA, a university town, with a population of over 105,000 (which includes the State College borough and
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-style competition, and develop solutions to problems in computer vision and geospatial understanding. Students selected will serve as active, hands-on, contributing members of the research staff at ARL