Sort by
Refine Your Search
-
Duke University, Economics Position ID: Duke-Econ-PD2025 [#30253] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area: Economics / 00 Default:Any Field Appl Deadline: 2025/07/24 11:59PM ** filled (posted...
-
models that include these mechanisms. The postdoc will develop biologically-constrained machine learning–based model discovery pipelines to derive interpretable surrogate ODE/PDE models from simulated ABM
-
starting the postdoc and must have prior publications. To apply, please submit a cover letter, CV, statement of research interest, names and contact information for three references and a publication list
-
conferred before a petition can be filed or a visa document issued to sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment
-
simulations to identify key mechanistic drivers of viral persistence and immune response, and use SciML to automatically select ODE/PDE models that include these mechanisms. The postdoc will develop
-
. The Department of Cell Biology is looking for a postdoc candidate to conduct research on tissue morphogenesis using zebrafish as a model system. The candidate will ideally have a training in
-
is limited (see Section 5 of the Postdoc Policy for the length of the appointment). The appointment involves substantially full-time research or scholarship and may include teaching responsibilities
-
that the requisite degree be conferred before a petition can be filed or a visa document tissued to sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length
-
Duke University, NSOE-ESS & MSC Position ID: Duke-NSOE-ESS & MSC-POSTDOC [#30156] Position Title: Position Location: Beaufort, North Carolina 28576, United States of America [map ] Subject Areas
-
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