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Postdoctoral Associate in Mathematical Modeling of EBV and HIV-1 Infection Dynamics at Duke University Duke University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral associate position at Duke University; initial appointment is for one year with renewal possible based on project needs and available funding. The post is part of a new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling.

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Country

United States

University

Duke University

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Keywords

Computer Science
Biomedical Engineering
Biostatistics
Biology
Mathematics
Mathematical Modeling
Uncertainty Analysis
Medical Science
Bayesian Statistics
Statistics
Bioinformatic

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About this position

Duke University is inviting applications for a Postdoctoral Associate in the Departments of Mathematics and Biostatistics & Bioinformatics, based in Durham, North Carolina, United States.

This postdoctoral opening is part of a new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling. The research focuses on mathematical modeling of Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue, with emphasis on the development, calibration, and analysis of multiscale agent-based models (ABMs) and differential equation models. The project uses longitudinal experimental data, including multiplexed spatial proteomics and transcriptomics, from microfluidic lymph node on-a-chip systems.

The postdoc will work with an interdisciplinary mentoring team spanning mathematics, biostatistics, molecular genetics, biomedical engineering, microbiology, and immunology. Named collaborators include Kevin Flores, Micah Luftig, Cliburn Chan, John Hickey, Jessica Conway, and Elliott SoRelle.

Eligibility highlights: applicants should hold a Ph.D. in applied mathematics, computational biology, quantitative biology, or a related field. Required experience includes ABM development, ODE/PDE modeling and analysis, parameter estimation or statistical inference, and strong programming skills. Preferred/related expertise includes Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, and scientific machine learning.

Funding and appointment: the position is a postdoctoral associate appointment with an initial term of one year and possible renewal depending on project needs and available funding. The post is associated with an NIH-funded center.

How to apply: submit a cover letter, CV, research statement, and three professional references through Duke's careers portal. The application link is provided in the post.

Funding details

Postdoctoral associate position at Duke University; initial appointment is for one year with renewal possible based on project needs and available funding. The post is part of a new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling.

What's required

Ph.D. in applied mathematics, computational biology, quantitative biology, or a related field. Experience in agent-based model development and ODE/PDE modeling and analysis is required. Applicants should be able to select, implement, diagnose, and adapt parameter-estimation or statistical-inference methods, and have experience with Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills in Python, Julia, Matlab, C++, or similar are required, along with strong scientific communication skills and demonstrated experience independently developing mathematical or computational models for biological systems.

How to apply

Prepare a cover letter, CV, research statement, and names of three professional references. Submit through Duke's careers portal using the application link provided in the post.

More information can be found here

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