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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
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health-related research problems using advanced data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics
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information about the lab can be found at www.princeton.edu/~cmngroup . Applicants must have a recent doctorate with appropriate research experience in cell biology, developmental biology, microfabrication
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research interests, and contact information for at least two references. The work location for this position is in-person on campus at Princeton University.This position is subject to the University's
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cover letter, curriculum vitae, contact information for three references and a brief statement of research interests. These positions are subject to the University's background check policy. The work
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topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational design. Job Description We seek to hire outstanding
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should submit a curriculum vitae, a publication list and a research statement, and provide contact information for three references by November 1, 2024 11:59 (EDT). Candidates may also include a cover
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://www.princeton.edu/acad-positions/position/38722 and submit a cover letter, CV, and contact information for three references. This position is subject to the University's background check policy. The work location
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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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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