664 computing "https:" "https:" "https:" "Genentech" uni jobs at Pennsylvania State University
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REQUIREMENTS We are seeking Electrical Engineering, Computer Science, and Computer Engineering students for an internship in the Strategic Systems Operations Division of the Applied Research Laboratory (ARL
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in Nursing Degree Program at Penn State Mont Alto and the Ross and Carol Nese College of Nursing, please visit http://montalto.psu.edu and https://www.nursing.psu.edu , respectively. BACKGROUND
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an employee of Penn State Cooperative Extension , The Pennsylvania State University . Specific Job Functions and Responsibilities: Program Development and Implementation Provide leadership for planning
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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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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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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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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