84 computer-science-programming-languages-"the"-"UCL"-"O.P"-"U.S" positions at Princeton University
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create analytic datasets and perform complex statistical analyses of data, using advanced econometric and other statistical methods. The ability to write computer programs to manipulate information, devise
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, experience with a variety of programming languages, and familiarity with critical path planning tools, are essential. A Ph.D. in engineering, operations research, computer science, or another related field is
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publications. Build awareness of software development tools and techniques, software engineering best practices, programming languages, high-performance computing hardware, and computational research solutions
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: 275372903 Position: Research Scholar - ISS Description: Innovations for Successful Societies (ISS), a program within the Princeton School of Public and International Affairs, invites outstanding researchers
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microscopy and/or structural biology; Fluent in English language and writing skills. Some experience in cryo-EM or eukaryotic protein expression is a plus.The successful candidate will join a highly
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of the data Stay current with new technology and attend training sessions, taking full advantage of training opportunities provided by the SCAD/DCS program Provide staff training where needed and give
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of metabolic cage collaborations is also a feature of this position. Essential: -A strong background in science and a bachelor's degree is required. -Math and computer proficiency, along with meticulous record
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) division. The role supports students, faculty, and staff in Computer Science, Electrical and Computer Engineering, Princeton Language and Intelligence, and the Princeton Center for Statistics and Machine
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: -A strong background in science and a bachelor's degree is required. -Math and computer proficiency, along with meticulous record keeping is required. -Must be highly motivated, a team player, able to
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classes on embedded systems programming. Professional Development • Learn the underlying science, mathematics, statistics, data analysis, and algorithms of computational research questions. This may involve