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algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems
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assigned. Knowledge, Skills & Abilities: Knowledge of coordinating experiments, and completing analysis, statistics, and interpretation. A strong team player. Ability to communicate in a clear, concise
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physics research under my supervision on topics including quantum many-body physics and quantum statistical mechanics. The research is expected to be partly analytical and partly computational in nature
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, Rocscience). Strong quantitative and statistical analysis skills. Strong technical writing and publication skills; ability to prepare manuscripts, reports, and grant proposals. Willingness to learn new methods
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: Statistical Physics / Statistical Physics Appl Deadline: 2026/02/28 11:59PM * (posted 2025/06/29, listed until 2026/02/28) Position Description: Apply Position Description A 1 year postdoctoral position is
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Special Instructions to Applicant Notice of Availability of the Annual Security and Fire Safety Report In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics
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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical
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/algebraic statistics in the School of Mathematics at the University of Edinburgh. The post is available from 1st September for a 36 months fixed-term, full-time contract with a potential 6 month extension
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independently as well as in a multidisciplinary team. Research experience in analysing infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical
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Range Based on Post Doctoral Experience Type of Position Temporary Position Time Status Full-Time Required Education PhD in statistics, biostatistics, epidemiology, bioinformatics, data science, computer