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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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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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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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). Candidates should apply at: https://puwebp.princeton.edu/AcadHire/position/39361 and include a cover letter, CV (including a list of publications), research statement (a discussion of past research, expertise
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. Applicants must apply online at https://www.princeton.edu/acad-positions/position/36861 and include a cover letter, CV, and names and contact information for 3 references. This position is subject to the
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University.Applicants must apply online at https://www.princeton.edu/acad-positions/position/38681 and submit a cover letter, a CV with publication list, and the names and contact information of 3 references.Education
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apply online at https://puwebp.princeton.edu/AcadHire/position/39061 and submit a cover letter, curriculum vitae, a brief statement of research interest, and names and contact information for three
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., geography, urban planning, data science, sociology, public health, emergency management). Ideal applicants will have: *Expertise conducting spatial and statistical analyses *Experience with scientific
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nucleoprotein biochemistry and cryo-EM. The candidate will become a member of the vibrant and collegial Molecular Biology department at Princeton University. To apply, please submit a cover letter, CV, and three
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of phylogenomics to work with Professor Tiago Simões. The Simões lab is broadly interested in phylogenetic methods and applications, using morphological and genomic data for reconstructing evolutionary