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Duke University, Department of Mathematics Position ID: Duke-POSTDOC1 [#27572] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America
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Duke University, Department of Mathematics Position ID: Duke-Math-POSTDOCASSOC [#30408] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708
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students, support new group members, and collaborate with colleagues across the Duke research community. Required Qualifications: Education/Training- PhD, physics, mathematics, quantum information/mechanics
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Duke University, Duke Quantum Center Position ID: Duke-Duke Quantum Center-PDA_CAL [#31445] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27705, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl...
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assistance, if needed. Minimum Qualifications The candidate should have a Ph.D. in Engineering, Physics, Applied Mathematics, Computer Science, or a related area. Experience 0+ years of postgraduate experience
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related field • Strong quantitative background (e.g. ecological theory and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated
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, Biostatistics/Statistics, Mathematics, Biomedical Engineering, or a related field by the start date. Skills: We welcome candidates grounded in one or more of the following: Generative AI/transformers, agentic AI
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immunology. Job Duties Develop and analyze mathematical models (primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement simulations and perform computational
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well as a passion for quantitative-biology and synthetic-biology research. The ideal candidate should have a recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics
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to biomedical research, particularly in immunology. Job Duties Develop and analyze mathematical models (primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement