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data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to
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should include a cover letter, a curriculum vitae including a publication list, a 1-2 page statement of research interests and goals, and name, address and email address of three referees familiar with
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: https://www.princeton.edu/acad-positions/position/38801 and include a cover letter, CV, research statement (a discussion of past research, expertise, and research interests), and contact information
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on campus at Princeton University. This position is subject to the University's background check policy. Applicants must apply online and submit a cover letter, C.V., 1-2 research papers, a research statement
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* Climate ScienceApplications are due on October 1st, 2025 11:59 PM (EST). Applicants should include a cover letter, a curriculum vitae including a publication list, a 1-2 page statement of research interests
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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doctoral degree in a related field. Interested applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/39241 and submit a cover letter, curriculum vitae, contact information for three
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://puwebp.princeton.edu/AcadHire/position/39501 and submit a cover letter, CV, 1-2 research papers, a research statement, and names of two referees who can provide letters upon request. Expected Salary Range: Expected
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and mathematical approaches to signal analysis, information theory, computational biology and image processing. The term of appointment is one year with the possibility of renewal pending satisfactory
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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics