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Field
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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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the central questions of the ARC-funded project, regarding the series’ attractions for readers, and the meanings given to the series. This will open up a sociocultural history of the post-war period in these
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Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 12 Sep 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is
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: Diagnosis, RehabilitatiOn & Prognosis). The Doctoral Researcher (DR) will join a cohort of DRs who will be working on a series of interlinked, interdisciplinary projects for sustainable, intelligent, and
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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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the Deutsches Geodätisches Forschungsinstitut (https://www.dgfi.tum.de/en/). The aim of the project is to combine a low resolution, thirty year time series of sea surface height (SSH) from satellite altimetry
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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biodiversity data, stable isotopes, and oceanographic parameters from two unique time series of benthos and meroplankton in fjord ecosystems. In addition, artificial intelligence (AI) applications will be used
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according to salary group E 13 TV-L) starting at the earliest possible date. The position is initially limited until June 30, 2028 and entails 75% of the full-time weekly hours with the option of extension