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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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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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. 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
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childhood. The project integrates exposure modeling, biomonitoring, and immune profiling to assess early-life susceptibility and long-term health impacts. The Scholar will work closely with Dr. Kate Hoffman
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: Engineering / Biomedical Appl Deadline: none (posted 2025/06/30) Position Description: Apply Position Description The You lab at Duke (youlab.bio) is seeking a postdoc candidates with strong training in
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model over the Contiguous United States, and evaluate model deficiencies and model improvements to improve the modeling of spatial heterogeneity of LST in land surface models. In Addition, Will Also
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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
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all applicable University and departmental policies and procedures. The postdoc candidate is expected to: 1) Develop coarse-grained or mesoscopic models of dynamic DNA nanostructures and polymer-grafted