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. Engagement with government and community stakeholders and partners. Presentation of research at local, national and international conferences and meetings. Additional Information: Applicants must hold a PhD in
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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
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comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-26-GEO-00001 PI277839340 Create a Job Match for Similar Jobs About Princeton University Princeton
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sample of writing in the candidate's field of specialization 4) contact information for three or more references Applications received by November 1, 2025 will be assured of full consideration. Expected
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, including a list of publications and presentations, a summary of research accomplishments and interests, and the names and contact information of at least three potential references to https
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. Applications should include a CV, a cover letter, a brief statement of research experience and research they hope to undertake at Princeton, and the contact information for three references. The application
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materials:1) a cover letter of application2) a curriculum vitae3) a sample of writing in the candidate's field of specialization4) contact information for three or more references Applications received by
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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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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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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757