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Full time, 2-year fixed term opportunity, located at the School of Mathematics and Statistics on the Camperdown Campus Opportunity to contribute to research on hybrid numerical-exponential
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] Subject Area: Statistics and Machine Learning Appl Deadline: 2025/12/01 11:59PM (posted 2025/09/04, listed until 2026/02/01) Position Description: Apply Position Description The Department of Mathematics
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, Condensed Matter Theory , Nanoscience , Nonlinear and Complex Systems , Quantum many-body structure and their manipulation , Statistical physics Appl Deadline: 2026/04/01 04:59 AM UnitedKingdomTime (posted
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motivated Research Fellow to join a collaborative, interdisciplinary team focused on statistical, computational, and integrative analysis of metabolomics and other omics data, with applications in
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. The successful candidate will join an interdisciplinary team developing statistical, computational, and AI-driven approaches to analyse complex biomedical data. Research areas may include bulk and single-cell
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16 Apr 2026 Job Information Organisation/Company Institute of Measurement Science, Slovak Academy of Sciences Research Field Mathematics » Applied mathematics Mathematics » Statistics Researcher
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bioinformatics, computational biology, systems biology, statistics, biostatistics, computer science, or a related field. The successful candidate will join an active, collaborative, and intellectually vibrant
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expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join an interdisciplinary team developing novel statistical methods for multi-omics data analysis. Research
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About the Role The postholder will develop novel methodology in statistical finance. The focus will be on applications in high-dimensional time series analysis and the development of adaptive models
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
of Finance, Actuarial Studies and Statistics at the ANU College of Business and Economics. The successful candidate will undertake a collaboratively designed research program in statistical design and