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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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Are you passionate about the future of circular manufacturing and intelligent quality control? Join us to develop AI-powered frameworks that improve real-time decision-making in additive
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27 Aug 2025 Job Information Organisation/Company Zokhiomj University Research Field Management sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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30 Aug 2025 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile First Stage Researcher (R1) Country Luxembourg
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 13 days ago
Researcher (R2) First Stage Researcher (R1) Country Australia Application Deadline 23 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework
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First Stage Researcher (R1) Country Netherlands Application Deadline 29 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU
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, monitoring results, data collection, preparation of support materials, etc. Additional Department Summary: The Department of Mechanical Engineering at the University of Alabama is seeking a temporary part-time
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of multivariate time series (activity, temperature, AMF data). Applied artificial intelligence: development of robust models for early detection of health anomalies. Field validation: deployment and testing
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world introduces new challenges. Attackers equipped with quantum computing capabilities will be able to break traditional cryptographic systems, rendering them obsolete and posing a significant threat to