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and societal. In this context, we welcome applicants from diverse backgrounds such as computer science, electrical and computer engineering, sociology, public policy, information science, communication
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or more of the following: software package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal
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should have experience with dual-comb spectroscopy and the acquisition and processing of associated signals and data. Essential Qualifications: Candidates must hold a Ph.D.; have the ability to work
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science, electrical and computer engineering, sociology, public policy, information science, communication, economics, political science, psychology, philosophy, and related technology disciplines. Selected candidates
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Requirements: * A brief, one-page description of project; we encourage a graphical abstract *Cover Letter * CV * Brief letter of support from Princeton faculty mentor (one page) Apply at https
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computer science, cognitive science, or a related field is required. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/40461 and include a cover letter, curriculum vitae, research
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:59 pm EST) for full consideration; however, the posting will remain open until filled. Application Process - All candidates must use the online application process to submit materials at: https
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. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/39643. A complete application will contain the following materials: 1) a cover letter of application 2) a curriculum vitae 3) a
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must apply online at https://puwebp.princeton.edu/AcadHire/position/40661 and submit a cover letter, CV, samples of original work, research statement and contact information for three references
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acquisition and processing of associated signals and data. Essential Qualifications: Candidates must hold a Ph.D.; have the ability to work independently within a team environment; and have excellent