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. A non-deterministic AI machine learning model for the identical task would not offer this demonstrability or, critically, the repeatability of classical algorithm-based systems. Furthermore, there is
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of Modern France: The Creation of a National Myth”, conducted by Professor Julie Kalman. This project will undertake a comparative study of the extraordinary popularity of the Asterix comic book series across
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seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis
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of the Foundation for Science and Technology (Regulation No. 950/2019) published in the Diário da República, 2nd series, No. 241, 16 December 2019; Regulation for Research Fellowships of the University of Beira
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural
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Year 2025-26) Job Title: Research Assistant or PhD Candidate Research Assistant (Continuous Recruitment) Location: Twin Cities – West Bank Campus Job Family: Graduate Assistants Full/Part Time: Part-Time
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minimum pay determined by rank and step at appointment. See the scale titled, Represented Project _ (e.g., Scientist) Series Fiscal Year. A salary that is higher than the published system-wide salary
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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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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