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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
Requirements Ph.D. in Computer Science, Information Science, Biomedical Data Science, Mathematics, Statistics, or a related technical discipline. Required Qualifications, Competencies, and Experience Experience
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proposal development. Required Knowledge, Skills, and Abilities: Ph.D. in Physics, Computer Science, Applied Mathematics, Engineering, or a related field. Strong programming experience. Knowledge of inverse
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Science, Physics, Applied Mathematics, Statistics, Computational Biology, Bioinformatics, Systems Biology, or related fields. Proficiency in at least one programming language (e.g., Python, Julia, R, C/C
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Job Description Applications are invited for a Postdoctoral Associate position with the Department of Mathematics at Virginia Tech, Blacksburg, VA to begin after August 10, 2025. The normal term
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University of Texas at El Paso, Mathematical Sciences Position ID: 3282 -PRA [#26544] Position Title: Position Type: Postdoctoral Position Location: El Paso, Texas 79968, United States of America
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The Computational Turbulent Reacting Flow Laboratory, led by Prof. Michael E. Mueller, invites applications for postdoctoral or more senior research positions in the field of atmospheric aerosol modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace...
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calculations, data analysis, and experiment design. -On the mathematical side, the group designs neuro-symbolic techniques to automate theoretical physics calculations, integrating AI agents with physics
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About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive
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mathematical analysis, and implementation level where actual systems for these proofs are developed for deployment in larger real world applications. An ideal candidate would have multiple publications