436 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Princeton University
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Computer Science, Electrical and Computer Engineering, Princeton Language and Intelligence, the Princeton Center for Statistics and Machine Learning, and the greater STEM community. This position works closely with
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appointed to an appropriate rank depending upon qualifications and experience. Applications will be accepted only from the Jobs at Princeton website: http://dof.princeton.edu/academicjobs and must include a
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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
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). Works with Electrical Project Engineer And/or Director to learn campus standards and ensure implementation of design standards via design & submittal reviews. Learns and utilizes NEC, UL, NETA, ANSI, and
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documents and reference letters no later than December 1, 2025, using the following site: https://puwebp.princeton.edu/AcadHire/position/39903. Applications require: a cover letter, complete curriculum vitae
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history, Chinese literature, or related fields. Ph.D. is preferred. Applications must be submitted online at https://puwebp.princeton.edu/AcadHire/position/40201 and should include a cover letter
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referees online at https://puwebp.princeton.edu/AcadHire/position/39602. Applications will be reviewed until the position is filled. For fullest consideration please apply by October 1, 2025. This position
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independently. Proficiency with Microsoft Office (including Word, Excel, Access, and Powerpoint) and Google Products (Drive, Docs, Sheets, Forms), and a willingness to learn new technologies. Ability to work in
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training to successfully complete Department investigations. Show positive leadership by encouraging others to learn and develop, giving clear and direct guidance and feedback on their performance. Encourage
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to explore the fundamental nature of gravity; see https://gravity.princeton.edu for more information. Candidates from all areas of research focusing on gravitational theory, including gravitational wave