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continued funding; those hired at more senior ranks may have multi-year appointments. A PhD is required, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related
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$10,000 annually in research funding. Applicants should have a strong track record of research excellence in a related field, and should have or be approaching a PhD in a related discipline (Physics, EE
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letter *A CV (including a list of publications) *A statement of relevant past and current research contributions and expertise *Names and contact information for three references PhD is expected by
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: 282551328 Postdoctoral Research Associate D-26-POL-00006 | Research | Data-Driven Social Science Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications
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their Ph.D. in a related field (e.g. Bioengineering and other Engineering fields, Biology, Physics, Chemistry) and have no more than two years' post PhD experience prior to the anticipated start date
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demonstrate strong research capabilities, be comfortable working in an interdisciplinary environment, possess excellent written and spoken English skills, and hold a PhD in a relevant discipline. The term
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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continued funding; those hired at more senior ranks may have multi-year appointments. The ideal applicant will be highly motivated; good communication skills; have (or expect to have) a PhD in Molecular
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collaborate with members of these different research groups. Individuals with evidence of experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. PhD in
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(but not limited to): the Lyman Spitzer, Jr. Postdoctoral Fellowship; the Henry Norris Russell Postdoctoral Fellowship; The Vera C. Rubin Observatory Data Management Team; and positions in research