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Multidisciplinary geophysical time series analysis for a new monitoring approach in a multi-hazard environment based on an innovative and dense network deployed near an active fault: the Alto Tiberina case study
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to the following: SDSC6012 – Time Series and Recurrent Neural Networks SDSC6016 – Predictive Analytics and Financial Applications SDSC8013 – Statistical Methods for Categorical Data Analysis (For detailed course
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field. Have proven expertise in statistical modelling and machine learning for large and complex datasets. Have proficiency in Python and/or R for time-series and sensor data analysis. Have an interest in
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31 Jan 2026 - 00:00 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 04-Jan-26 Location: Riverside, California Type: Full-time Categories: Academic/Faculty Internal Number: JPF02206
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of the platform, as it will help them reduce the time needed to find proper employees or adapt their curricula to the requirements of the market. Based on the results of the analyses, a series of recommendations
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of the platform, as it will help them reduce the time needed to find proper employees or adapt their curricula to the requirements of the market. Based on the results of the analyses, a series of recommendations
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. Connections working at University of California Los Angeles More Jobs from This Employer https://main.hercjobs.org/jobs/21898717/project-scientist-series-pool-ad-open-ranks-in-the-department-of-neurosurgery
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, Categorical Data Analysis, Optimization, Time Series Analysis, Survival Analysis, Actuarial Mathematics, Data Mining and Bayesian Statistics are welcome. Candidates are also expected to teach post graduate
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in the context of clinical research; Experience in the application of nonlinear methods with application to health time series, such as the heartbeat; Good knowledge of the English language; Present a