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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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, or a related field and must have less than three years of post-PhD research experience prior to anticipated start date. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position
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the operation of a wide range of surface science methods, with emphasis on HRXPS, LEIS, AES, LEED, TPD, HREELS, Raman scattering, and SEM. Qualified candidates should possess experience for the design
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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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model output available to a diverse audience. Candidates must have a PhD in computer science, environmental and physical sciences, or a closely related field. The following attributes are desirable: a
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you will be asked in the application which positions you are interested in. For further inquiries, contact astropd@princeton.edu. PhD is required. The work location for this position is in-person
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A complete application will require: 1.A current curriculum vitae; 2.A brief cover letter (not to exceed 1,000 words), describing the kind of research that the candidate would plan to pursue in
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leading and mentoring graduate and undergraduate students. A PhD in relevant fields of energy storage, electrochemistry, and materials characterization is required. Experience with solid electrolytes
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, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling *An interest in mixed-methods approaches, including also
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research and to their own work. Eligible candidate must have less than five years of post-PhD research experience prior to anticipated start date. This is a one-year term position ideally starting September