830 web-programmer-developer-"https:"-"University-of-Cambridge"-"https:" positions at Pennsylvania State University
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) at Penn State. Facilities Support maintains all Garfield Thomas Water Tunnel (GTWT) testing facilities and testing assets, while Instrumentation Support maintains and develops electronic and data
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Your working location will be fully on-site, located in State College, PA. ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in
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to properly plan, staff, and execute those programs Participate in new customer development efforts and business generation In coordination with MBE and USO leadership, define department performance
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with program management, program sponsors and stakeholders Develop and maintain long-term professional relationships with relevant manufacturers and system integrators, as well as with government
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at the unit, college, and university levels as assigned. Support and contribute to the development and maintenance of a strong web, print, and social media presence for the office to enhance communication and
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The Mechanical Systems & Design Department under the Engineering Systems Research and Development Division within the Undersea Systems Office (USO) of the Applied Research Laboratory (ARL) at Penn State University
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) at Penn State University. ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD
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are seeking highly motivated Data Science/Machine Learning Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research Laboratory
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professional development Lead interdisciplinary R&D programs from concept to delivery, ensuring technical rigor, mission relevance, and effective communication of program goals, outcomes and resource needs
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and Decision Support Division of Penn State ARL. In this role, you will architect and optimize data systems that empower our data scientists to efficiently research, train, and deploy both traditional