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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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therefore be able to assess critically which method will work best and which steps needs to be taken to train the emulator so that it provides realistic and robust results. We are, therefore, looking for a
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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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(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