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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data
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. Applications must be submitted online at https://www.princeton.edu/acad-positions/position/39341 . Applications should include a cover letter, curriculum vitae that includes a list of publications, a brief
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semester of the academic year. The current list of members and their areas of research can be found at https://csml.princeton.edu/people Successful candidates will be appointed for a full-time, 12-month
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://www.princeton.edu/acad-positions/position/38901 and include a cover letter, CV (including a list of publications), research statement (a discussion of past research, expertise, and research interests), and contact
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. Applicants should apply at: https://puwebp.princeton.edu/AcadHire/position/39183 and include: *A cover letter *A CV (including a list of publications) *A statement of relevant past and current research
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funding. This is a full-time position; work must be conducted on-site at Princeton. Applicants must apply online with a CV (including a list of publications), cover letter (summarizing past research
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of whole genomic data already available; and ii) investigating rates of evolution across the genome and their correlation with phenotypic traits across various subdivisions of the squamate body plan
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closely-related field. Applicants should include a cover letter, a curriculum vitae including a publication list, and contact information for three references by applying on the Princeton University
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semester of the academic year. The current list of members and their areas of research can be found at https://csml.princeton.edu/people Successful candidates will be appointed for a full-time, 12-month
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models, programming, and quantitative methods. Preferred qualifications include experience in reinforcement learning, neural networks, and/or statistics. Questions can be addressed to Professor Nathaniel