190 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Princeton University
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: 279395330 Position: ***Updated*** Lecturer Description: The Department of Operations Research and Financial Engineering at Princeton University has an occasional curricular need for lecturers to teach, co
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communications specialist and the SEAS (School of Engineering) communications team. Responsibilities Strategic Planning: support the development of the strategic communications plan and maintain branding standards
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development of high field superconductors and superconducting magnets. The large bore, high field superconducting magnet technology using high temperature superconductor (HTS) is a potential game changer for
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propulsion. Applied Materials and Electromanufacturing Advancing plasma processing science and electrified manufacturing technology. Using high performance computing, machine learning and advanced numerical
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generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education. Connections working at Princeton University More Jobs from This Employer https
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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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and establishing priorities to meet institutional goals with the most effective and economical utilization of personnel, technology, and equipment. DPS is a 24/7, 365-day operation. The successful
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program or possess the equivalent in educational and practical experience. Must have five (5) years journey level experience as an electrician in an industrial, commercial or institutional setting. Must
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data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer/data science and the life sciences. Applicants must hold a Ph.D. in Engineering, Computer