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Postdoc Appointment Term: 2 years Appointment Start Date: 01-01-2026 Group or Departmental Website: http://aging.stanford.edu (link is external) http://geriatrics.stanford.edu (link is external) How
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research
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journals, contributes to grant proposal development, and provides technical leadership in cutting-edge computational research areas. Major Responsibilities/Duties/Critical Tasks Lead research efforts in AI
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and research staff. For a full list of department members and activities, see https://web.astro.princeton.edu/. There are also strong research groups with interests in astrophysics at the Princeton
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or Departmental Website: https://med.stanford.edu/gruberlab.html (link is external) How to Submit Application Materials: Interested applicants should submit the required application materials by email to Aronne
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. Appointment Start Date: Preferably by July 2026 Group or Departmental Website: https://hph.stanford.edu/ (link is external) How to Submit Application Materials: Submit all application materials
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experience in doing so. This position is based at the Kansas Geological Survey (KGS), a research and service unit at the University of Kansas , and will be co-supervised by Jim Butler (https://kgs.ku.edu
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agreement and within the constraints of available funding. *In this context, you might be expected to generate new research ideas and lead development of new research proposals. *In this position, you will
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benefits (https://hr.uconn.edu/employee-benefits-overview/ ). The salary for this position is in the range of $70,000 to $75,000. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is
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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department