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Duke University, Gender, Sexuality and Feminist Studies Position ID: Duke-Gender, Sexuality and Feminist Studies-POSTDOC [#30734] Position Title: Position Type: Postdoctoral Position Location
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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...
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Overview We are seeking a highly motivated postdoctoral researcher with expertise in artificial intelligence and machine learning (AI/ML) to join our interdisciplinary team at Duke University. The postdoc
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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
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applications are no longer accepted. *** Position Description The Gibert lab is looking for a postdoc to join our team that studies how rising temperatures influence aquatic microbial food webs by examining how
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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
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University is looking to hire a postdoctoral researcher to contribute to our studies on the molecular and biomechanical mechanisms of cell sheet morphogenesis during dorsal closure in the model system
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. 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
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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
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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