429 machine-learning "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" uni jobs at Princeton University
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are required to submit an online application at: https://puwebp.princeton.edu/AcadHire/position/39462. A complete application must include the following: * cover letter; * a curriculum vitae; * a scholarly paper
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across the broad areas of Statistics and their applications in machine learning. The ORFE department is part of the School of Engineering and Applied Science which is pursuing several initiatives in
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are expected to have earned their PhD by September 2026. Interested applicants should apply online at https://www.princeton.edu/acad-positions/position/39421. Candidates should submit a vita, cover letter
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and attract and retain a diverse student body. Apply online at https://puwebp.princeton.edu/AcadHire/position/39381. This position is subject to the University's background check policy. Expected Salary
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, using the following site: https://www.princeton.edu/acad-positions/position/39903. Applications require: a cover letter, complete curriculum vitae, descriptions of research and teaching interests, and the
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Publication List Four Reference Letters (to be submitted by reference writers at this site) Applications for this job listing are being accepted at another web site accessible by the link shown below: https
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(provisional, probationary, international, or temporary licenses are not accepted). Strong oral and written communication skills. Proficiency with computer use and willingness to learn new systems and
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scholarship and learning that stands in the nation's service and in the service of all nations. Chartered in 1746, Princeton is the fourth-oldest college in the United States. Princeton is an independent
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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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. Qualifications High School diploma or equivalent. Candidate must be Customer Service oriented. Must possess physical security experience, past law enforcement, or a military background deemed equivalent to meet