40 data-"https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs at Princeton University
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sequencing data and population genomics tools. Excellent writing ability in English is essential as well as creativity, energy, and the desire to work in an interactive and inter-disciplinary environment
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fertility and extensive experience with qualitative data collection, management, and analysis. This position will involve leading qualitative fieldwork in two northeastern cities. The study team anticipates
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, and contact information for two referees, one of which should be from the principal advisor of the doctorate program. The appointment is for one year with the possibility of an extension pending
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. Only complete applications will be accepted for consideration and the application form must be completed in its entirety before it can be submitted. For more information send an email to PMIjobs
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. Application Instructions Applicants should submit (1) a cover letter describing research interests and relevant experience; (2) a curriculum vitae including a publication list; and (3) contact information
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, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks two postdoctoral or more senior research scientist for Earth System research and development activities focused on data
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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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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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(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
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of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https://www.nature.com/articles/s42256-021-00407-x ), and extending these tools or developing new models as