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Field
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impacts of barrier winds and tip jets in current and future climates via time-slice comparisons from state-of-the-art climate model simulations. Training You will use observations from a series of Norwegian
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measurement; Measurement of related tracers (e.g., Radon); Programming (e.g., R, Python) for advanced atmospheric time-series analyses, including machine learning; Skills for presenting research at scientific
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collaboration with the FutureFinTech National Center of Excellence in Research and Innovation, the successful candidate will work on the project "Regulatory Compliance in Digital Financial Services from
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growing financial exposure. When floods hit, they disrupt loan repayments, reduce property values, and undermine financial stability. Yet current stress-testing frameworks often overlook short-term
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using databases for hydrological data. This includes management of big data sets Experiences of using statistical methods for time-series analyses Experiences in designing and using workflow
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. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in 2D convolutional neural networks in Python. This is a part-time position (5
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in
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-level mathematics, microeconomics, macroeconomics, economic policy, and advanced econometrics. In the summer semester (April to July), doctoral students choose either microeconometrics or time series
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for Education, Research and Innovation (SERI). DC1, DC2, DC10: The PhD position will be extended to 4 years; the fourth year funded by Göteborgs Universitet, UGOT, Sweden.
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8 Nov 2025 Job Information Organisation/Company Erasmus University Rotterdam (EUR) Research Field Economics » Business economics Economics » Financial science Researcher Profile First Stage