157 assistant-professor-and-data-visualization Postdoctoral positions at Princeton University
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employee benefits are offered in accordance with Princeton University guidelines. Applicants must submit a CV, contact information for three references, and a cover letter describing their areas of expertise
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University guidelines. Applicants must submit a CV, contact information for three references, and a cover letter describing their areas of expertise and interest. References may be contacted for the candidates
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than 1,500 words) describing the proposed research; * contact information for two references. For priority consideration, application materials must be received by 11:59 p.m. EST on December 5, 2025
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/position/40321. Applicants should submit a letter of application, a CV, a writing sample of no more than 10,000 words, and the contact information for three referees who will be asked to provide letters
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they are likely to make to higher education in the future through teaching and writing about race. How To Apply: Applicants must upload to the online portal the following information by December 15, 2025, 11:59pm
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data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to
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codebases and data pipelines; ensure reproducibility and version control *Work with team members to integrate LLM modules into user friendly decision support platforms *Facilitate user testing and gather
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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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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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information about the lab, please visit https://mesa-lab.org/. Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging to investigate: 1) How immune cells localize