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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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The Joseph Research Group at Princeton University is searching for postdoctoral candidates interested in computer simulation studies of intracellular spatiotemporal organization, biomolecular self
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20251248F Position Title
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20251248F Position Title
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. The project seeks to advance population health using innovative quantitative methods in system dynamics computational modeling and structural equation modeling applied to accelerating the translation and
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Job Description Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (foreign equivalent degree) in Experimental Nuclear or Particle Physics or closely related field
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the project goals. The successful candidate will be working closely with the project PI’s to generate and test hypotheses, develop and run model simulations, and report findings through presentations
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mechanics of yarn fibers and textile structure inform the development of robust software modeling tools and testing instruments for realistic fabric simulation that enable inverse design. Ability to work in a
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experiment at the EIC. The program includes data analysis involving polarized targets at Jefferson Lab as well as full detector and physics simulations for ePIC. In addition, the candidate will collaborate
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic