219 assistant-professor-and-data-visualization Postdoctoral positions at Princeton University
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information for four (4) referees, who will be asked to provide letters of support. This position is subject to the University's background check policy. Consideration of the applications will begin on March 1
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-page statement of research experience and interests, and a cover letter that includes names and contact information of three references.Princeton University is an Equal Opportunity Employer and all
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non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess strong quantitative skills (e.g. Matlab, C++, Python). The term
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statement of relevant past and current research contributions and expertise*Names and contact information for three referencesPhD is expected by the start date. Appointments are for one year, with
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advance regenerative medicine. For more information about the lab, please visit https://mesa-lab.org/ .Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging
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written and spoken communication skills.Preference will be given to applicants with demonstrated expertise in energy systems analysis, in the collection, processing, and integration of country-specific data
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positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-26-MOL-00001 PI279554482
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://www.princeton.edu/acad-positions/position/40841 and submit a cover letter (indicating relevant qualifications and plans for research and writing), a curriculum vitae, one writing sample and contact information
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online at https://www.princeton.edu/acad-positions/position/39383 and submit a CV, cover letter, and contact information for three references. The work location for this position is in-person on campus
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, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using cutting-edge