Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Duke University, Sociology Position ID: Duke -Sociology -POSTDOC [#30387] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America [map
-
equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. • A candidate may also be appointed to a postdoctoral position if the candidate
-
Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. 1. A candidate may also be appointed to a postdoctoral
-
doctorate (e.g.ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral position if the candidate has
-
scientific meetings DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. A
-
required to provide proof of degree equivalency. 1. A candidate may also be appointed to a postdoctoral position if the candidate has completed all the requirements for a degree, but the degree has not been
-
the position is filled. Your application should include a cover letter (be sure to address your fit for the position), Curriculum Vitae, 1-page statement of your career goals and how this postdoc experience will
-
a PhD or equivalent doctorate (e.g.ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral position
-
a PhD or equivalent doctorate (e.g.ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral position
-
policies pertaining to other schools at Duke University. The postdoc candidate is expected to: 1) Develop novel methods for incorporating scientific machine learning in solving problems in solid mechanics