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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 11-Jul-26 Location: Irvine, California Type: Full-time Categories: Academic/Faculty Mathematics/Statistics Internal
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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for analysing movement and behavioural data. Strong knowledge of statistical analysis, experimental design, and reproducible computational research. Experience with scientific Python libraries (NumPy, SciPy
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possessions. Minimum Qualifications: PhD in Mathematics, statistics, or closely related field. A record of research excellence and clear potential for continued scholarly impact. Instructional experience
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will begin from June 2026. Education and Background PhD degree in a relevant quantitative discipline such as Bioinformatics, Statistics, Mathematics, Data Engineering, or Biomedical Engineering
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
Research Ireland within the School of Computer Science and Information Technology and this position will be hosted by the School of Mathematical Sciences in UCC. This role is part of a national Centre, Rinn
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University of Arizona releases an Annual Security Report (ASR) for each of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years
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retirement plans. Researchers enjoy a high degree of academic freedom and a stimulating collaborative environment that bridges physics, mathematics, computer science, and quantum engineering. How to Apply
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will be hosted by the School of Mathematical Sciences in UCC. This role is part of a national Centre, Rinn Artificial Intelligence – Research & Innovation in Data Science and AI, a multi-institutional
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be