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. This computational immunobiology postdoctoral position is appropriate for a candidate who is enthusiastic and willing to undertake multiple molecular biology and computational approaches to evaluate host immunity
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independent research activities under the guidance of a faculty mentor in preparation for a full-time academic or research career. Work Performed DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent
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microbiome engineering, with a strong emphasis on bioinformatic analysis, data integration, and the development of new computational methodologies. •Design and execute experiments, integrating molecular and
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The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment The Postdoctoral Appointee functions under
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mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE modeling and analysis. Strong programming skills (Python, Julia, Matlab, C++, or similar
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Requirements: Ph.D. in mathematics, applied mathematics, physics, computer science, engineering, or a related quantitative field. Strong knowledge of differential equations and applied mathematical modeling
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. Postdoctoral Associate – Dr. Nicholas Parrish Be You. The Department of Surgery is seeking a detail-oriented and highly motivated Postdoctoral Associate to join our team. The research project will include pre
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. Duke University’s Department of Obstetrics and Gynecology has an opening as a Postdoctoral Associate in Dr. Danny Schust’s lab supporting research on preeclampsia and requires an individual to run
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational