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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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are not designed to produce reliable regional estimates of those phenomena. Therefore, small area estimation (SAE) methods are used. With technological advances, Big Data now offers valuable spatial
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: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based
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field (including but not limited to Philosophy, Media Studies, Iranian Studies, and Secular Studies); have experience in qualitative research methods, in particular digital media studies and analysis
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to an online textbook, intended for education. As the project also has an extensive societal relevance component, you are welcome to join in on activities for that as much as you please. You will be working in
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(preferably python); has experience with methods and models to estimate techno-economic potential of renewable energy technologies; has knowledge and interest in the energy transition. Having detailed knowledge