779 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "UCL" positions at Pennsylvania State University
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Responsibilities: Research (75%) We seek an innovative and collaborative scientist whose research program addresses fundamental and/or applied aspects of how food structure, texture, and composition interact with
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, small campus setting. For more information about the campus, visit https://dubois.psu.edu/ . BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background
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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. As part of
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portfolio is required with all applications. This is a non-exempt hourly position offering a maximum of 24 hours weekly and is eligible for fully remote work from select locations. See https://hr.psu.edu/more
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. • Rich opportunities will be available for innovative equipment and process development, advanced materials characterization and deep collaborations with theoretical/computational efforts focused
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contributes to program evaluation and research activities that advance the Division of Geriatric Medicine’s education and workforce development initiatives. Key Responsibilities Deliver training and educational
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Behavior Clinic within the Department of Psychiatry and Behavioral Health (https://sites.psu.edu/abcresearchprogram/). This is a 1-2 year position depending on training needs. The post-doctoral scholar will
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health research programs. The successful candidate will develop, implement, and evaluate advanced computational and statistical approaches to analyze high-dimensional biological data, including multi-omics
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REQUIREMENTS Penn State’s College of Engineering (COE), in collaboration with the Office of Naval Research (ONR) and Penn State’s PIPELINE (Penn State Intern Pipeline Links to Navy Engineering) program, is
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and forward-thinking Data Scientist to advance computational research and digital scholarship using archival collections and datasets. Position Overview This position is based in the Eberly Family