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Texas A&M University, Department of Mathematics Position ID: TAMU-POSTDOC1 [#26944] Position Title: Position Type: Postdoctoral Position Location: College Station, Texas 77843
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-borne diseases modeling. The ideal candidate should have 1) a strong background in applied mathematical sciences, computer science, or any other quantitative field, 2) experience with population biology
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. The preferred candidate will have a strong academic or industrial background in machine learning, trustworthy machine learning and AI, agentic AI, adversarial machine learning, graph-based learning, multi-domain
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Description Here’s a Glimpse of the Job The Postdoctoral Research Associate will contribute to cutting-edge theoretical research in classical and quantum gravity, supergravity, and string theory, while actively
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the theoretical and computational mechanics of shell structures, with a focus on extending these models to incorporate coupling with electromagnetic theory. This position is part of an interdisciplinary effort to
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Measure Theory : Leveraging foundational mathematical frameworks to design robust modeling approaches. 2) Deep Learning : Exploring cutting-edge techniques such as multimodal data integration, diffusion
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of extension up to three years. Ideal candidates will have a background in geodynamics, Earth and planetary sciences, applied or computational mathematics, physics, or engineering. Prior experience with neural
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independently. Must be able to organize and manage a varied range of assignments and projects with high efficiency. Able to work with database, graphing, word processing, and statistical computer programs such as
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presentations. Functional Area 3: Teaching Percent Effort: 5% Teach courses in Department of Mathematics and Statistics Perform other duties as assigned QUALIFICATIONS Ph.D. in Data Science, Statistics
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experience. Required Education and Experience: PhD in Physics Preferred Education and Experience: Experimental: Expertise with nonlinear optics, plasma physics, and ultrafast lasers. Theory: Working